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Fauziah Anggraeni
Abstrak :
Lapangan Delta di Mahakam cekungan lower Kutai yang sekarang dioperasikan oleh Chevron Indonesia Company telah berproduksi sejak tahun 1975. Produksi dari lapangan ini mencapai puncak produksi sebesar 31 MBO pada tahun 1991, kontribusi terbesar dari produksi tersebut berasal dari zona low resistivity. Berdasarkan data log, zona yang menghasilkan hidrokarbon biasanya terdapat pada zona yang menunjukkan nilai resistivitas yang tinggi, tetapi pada lapangan Delta yang menjadi area penelitian ini sebagian besar produksi didominasi dari zona yang mempunyai nilai resistivitas yang rendah. Berdasarkan hasil analisa menunjukkan bahwa nilai tersebut dipengaruhi oleh beberapa faktor, diantaranya keberadaan mineral pyrite (Fes2), dominasi persentase volume clay dan ketebalan pay zone, dan nilai salinitas yang lebih tinggi dibandingkan dengan zona hidrokarbon yang mempunyai nilai resistivitas yang lebih tinggi pada lapangan ini. Persentase nilai pyrite yang terdapat pada zona low resisivity ini hanya sebesar 1.2% - 3% dari volume batuan, tetapi nilai tersebut sudah bisa menurunkan nilai resistivitas sebesar 65% lebih rendah dibandingkan dengan zona hidrokarbon yang mempunyai nilai resistivitas yang tinggi pada formasi Deltaic dan Formasi Yakin. Persentase volume clay dan ketebalan juga mempengaruhi, dominasi mineral illite pada shale dan ketebalan kurang dari 5ft akan mempengaruhi penurunan nilai resistivity sebesar 10% dibandingkan high resistivity pay zone pada formasi Deltaic dan formasi Yakin. Dari analisa laboratorium pada air formasi menunjukkan bahwa pada zona low resistivity mempunyai nilai salinitas lebih tinggi 2000ppm diandingkan formasi Deltaic dan Formasi Yakin.
Sepinggan Field in Lower Kutai Basin which is in Mahakam Block and operated by Chevron Pacific Indonesia has been produced since 1975. Hydrocarbon pay zone generally has high resistivity. Nevertheless, Sepinggan Field production is primarily from low resistivity zone which is the most contributors even for its peak production at 31 MBO in 1991. Analysis result shows that the low resistivity value of the zone is influenced by some factors. These factors are pyrite content (FeS2), clay volume percentage domination and pay zone thickness, and more saline than high resistivity pay zone salinity. Pyrite volume percentage in this low resistivity zone ranges from 1.2 to 3 %. This value can reduce 65 % from the normal resistivity value of hydrocarbon zones from Deltaic and Yakin Formation in this field. Illite domination in clay mineral content and less than 5 ft thickness also can reduce 10 % from the normal resistivity value of Deltaic and Yakin. Formation pay zones Laboratory analysis of formation water shows that salinity of low resistivity zone has 2000 ppm higher than Deltaic and Yakin water formation salinities.
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
T54172
UI - Tesis Membership  Universitas Indonesia Library
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Nur Najmiah Tullailah
Abstrak :
ABSTRAK
Area X, Cekungan Sumatera Utara merupakan target eksplorasi hidrokarbon dengan mengejar target lapisan dalam sebagai prospek baru. Metode seismik telah dilakukan namun hasilnya masih memiliki ambuigitas dalam menggambarkan bentuk bawah permukaan khususnya lapisan dalam di antaranya keberadaan basement sebagai dasar dari lapisan sedimen di atasnya yang menjadi target eksplorasi. Metode Gaya Berat dan Magnetotellurik dilakukan untuk mengkonfirmasi keberadaan basement yang menjadi dasar intrepretasi pada seismic. Metode Magnetotellurik dilakukan untuk menunjukkan distribusi nilai resistivitas litologi di bawah permukaan, dalam hal ini nilai resistivitas antara basement dan formasi lain di sekitarnya. Berdasarkan hasil inversi 2D dan 3D MT pada lintasan 4 dan 6 menunjukkan adanya kontras resistivitas yaitu zona resistivitas tinggi (Rho=102 - 103 ohm.m) pada bagian SW dari lintasan dan pada kedalaman 6000 meter kebawah yang mengindikasikan lapisan formasi yang lebih tua dan dalam hal ini juga diindikasikan sebagai basement , sedangkan di sebelah NE dari lintasan tersebut tampak litologi yang lebih konduktif (Rho= 1-101 ohm.m) dan berada bagian atas dari lintasan yang menunjukkan lapisan formasi yang lebih mudah diindikasikan sebagai lapisan sedimen. Metode Gaya Berat akan menunjukkan distribusi nilai densitas yang diperoleh dari hasil gravity forward modelling. Hasil dari metode gaya berat menunjukkan adanya kontras densitas di bagian sisi kiri dan kanan dari lapangan, dimana berdasarkan peta regional terdapat anomali nilai rendah berkisar 26-42 mGal dan anomaly tinggi berkisar 48-66 mGal. Hasil pemodelan gravity 2D pada lintasan 4 dan 6 menunjukkan keberadaan basement pra-tersier berada pada kedalaman 6000 m kebawah dengan beberapa formasi diatasnya yang terdiri dari formasi pratersier dan formasi yang terbentuk pada tersier. Formasi pada lapisan dalam yang berpotensi sebagai reservoar yang baik adalah Formasi Tampur yang merupakan batu gamping serta Formasi Parapat yang merupakan batu pasir.
ABSTRACT
Area X, North Sumatra Basin is a target for hydrocarbon exploration by pursuing the inner layer target as a new prospect. Seismic methods have been carried out but the results still have ambiguity in describing subsurface forms, especially the inner layers, including the presence of basements as the base of the sediment layer above which is the target of exploration. The Gravity and Magnetotelluric methods are carried out to confirm the existence of the basement which is the basis of the interpretation of seismic. The Magnetotelluric method is performed to show the distribution of lithological resistivity values below the surface, in this case the resistivity value between the basement and other formations around it. Based on the results of 2 D and 3D MT inversion on tracks 4 and 6, the contrast resistivity is high resistivity zone (Rho =Rho=102 - 103 ohm.m) on the SW portion of the track and at a depth of 6000 meters down which indicates the older formation layer and in this case also it is indicated as a basement, while in the NE from the track it appears more conductive lithology (Rho= 1-101 ohm.m) and is located at the top of the track which shows the formation layer which is more easily indicated as a sediment layer. The gravity method will show the distribution of density values obtained from the gravity forward modeling. The results of the gravity method show that there is contrast density on the left and right sides of the field, where based on regional maps there are low value anomalies ranging from 26-42 mGal and high anomalies ranging from 48-66 mGal. The gravity 2D modeling results on tracks 4 and 6 show the existence of a pre-tertiary basement at a depth of 6000 m below with some formations above which consists of pre-tertiary formations and tertiary formation. Formations in the inner layer which have the potential as a good reservoir are the Tampur Formation which are limestone and Parapat Formation.
2019
T51936
UI - Tesis Membership  Universitas Indonesia Library
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Mochammad Bimo Irfani Usman
Abstrak :
Cekungan Jawa Barat Utara terbukti merupakan penghasil hidrokarbon yang cukup besar di Indonesia. Reservoir target merupakan resevoir karbonat formasi baturaja yang diendapkan pada kala Miosen.Pada reservoar karbonat perlu dilakukan karakterisasi untuk mengetahui jenis Fasies,lingkungan pengendapan, kualitas petrofisika dan penyebaran Impedansi Akustik dan penyebaran Porositas dengan parameter berupa analisa thin section dan data core, analisa wireline log, interpretasi seismik dan analisa inversi untuk mengetahui proses Diagenesa porositas, penyebaran porositas zona hidrocarbon dan ketebalan reservoar tersebut untuk mendapatkan informasi reservoar.Data penelitian terdiri dari 412 inline dan 2160 xline seismik tiga dimensi (3D) serta data log sumuran (UI-1,UI-2 dan UI-3). Hasil dari penelitian ini adalah pada lapangan Bimo ditemukan 3 fasies yatu Mudstone,Wackestone dan Packedstone berdasarkan klasifikasi dari dunham, didapatkan pula diagenesa nya adalah dolomitisasi, sementasi, mikritisasi dan disolusi. Sementara lingkungan pengendapannya dalah Lagoon dan Back reef dengan lingkungan diagenesa nya adalah freatik dan pencampuran.Dari klasifikasi Dunham fasies dan lingkungan pengendapan yang ditemukan mengindikasikan lingkungan laut dangkal. Pada analisa petrofisika didapat porositas pada sumur UI-1,UI-2, dan UI-3 yaitu 0.16,0.22 dan 0.2 dengan ketebalan reservoar 3.5, 2 dan 37 ft menunjukan pada sumur UI-3 yang memiliki reservoar yang tebal. Sementara pada nilai AI yaitu 16250-24000  ft/s*gr/cc pada sumur UI-1,18750-23475 ft/s*gr/cc pada sumur UI-2 dan juga 16175 dan 18175 ft/s*gr/CC pada sumur UI-3.Hasil tersebut menunjukan pada litologi karbonat memiliki nilai Impedansi Akustik yang lebih besar daripada litologi shale. Penelitian ini menyimpulkan bahwa zona reservoar dipengaruhi oleh diagenesa dari batuan Karbonat dan juga penyebaran nilai Impedansi Akustik dimana saat Impedansi Akustik kecil porositas besar dikarenakan semakin besar Impedansi Akustik maka nilai densitas batuan semakin besar. ......The North West Java Basin is proven to be a large hydrocarbon producer in Indonesia. With reservoar Carbonate which is a hydrocarbon producer of 60% in the world it is necessary to characterize it to determine the quality of the reservoar. This basin is deposited in baturaja formations in the miocene age. Carbonate reservoars need to be analyzed by analyzing thin section and core data, wireline log analysis, seismic interpretation and inversion analysis to determine the porosity formation process, the spread of hydrocarbon zone porosity and the thickness of the reservoar.The research data consisted of 412 inline and 2160 xline three-dimensional seismic (3D) and well log data (UI-1, UI-2 and UI-3). The results of this study were found in field Bimo 3 facies of Mudstone, Wackestone and Packestone based on the classification of dunham. Then the diagenesis was obtained as dolomitization, cementation, micritization and dissolution. While the depositional environment is Lagoon and Back Reef with its diagenetic environment is Phreatic and mixing. In petrophysical analysis obtained porosity in wells UI-1, UI-2, and UI-3 namely 0.16.0.22 and 0.2 with reservoar thickness 3.5, 2 and 37 ft while at AI value is 16250-24000 Ft / s * gr / cc at well UI-1,18750-23475 ft / s * gr / cc in wells UI-2 and also 16175 and 18175 Ft / s * gr / CC in well UI-3. This study concludes that the reservoar zone is influenced by the diagenesis of carbonate rocks and also the spread of AI values where when large AI is a large porosity due to large AI feeds, the value of the rock descent is greater.
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
T52726
UI - Tesis Membership  Universitas Indonesia Library
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Normansyah
Abstrak :
ABSTRAK
Tesis ini membahas bagaimana proses mengaplikasikan metoda neural network pada data seismik tiga dimensi untuk memprediksi porositas dan saturasi air pada suatu reservoar dengan membuat volum pseudo log. Studi kasus penelitian ini adalah reservoar karbonat build-up pada formasi Parigi di lapangan X, merupakan lapangan gas yang baru ditemukan, di cekungan Jawa Barat Utara, dimana studi reservoar perlu dilakukan untuk program pengembangan produksi, salah satunya dari aspek geofisika. Studi ini menggunakan analisis pendekatan statistik dari atribut seismik terhadap data sumur yakni log porositas dan saturasi air untuk mendapatkan multi atribut dengan korelasi terbaik yang digunakan sebagai input dalam proses prediksi dengan menggunakan metoda Neural Network. Dengan menerapkan Neural Network, hasil prediksi memiliki korelasi dan resolusi yang lebih tinggi mendekati data akutal log porositas dan saturasi air. Hasil dari penelitian ini adalah distribusi porositas dan saturasi air secara kuantitatif berupa pseudo log volum tiga dimensi dimana data ini dapat menjadi data pendukung dalam studi reservoar lebih lanjut seperti pemodelan geologi, simulasi reservoar dan perhitungan cadangan. Hasil pseudo log ini kemudian diinterpretasi dan dipetakan untuk karakterisasi reservoar dan penentuan lokasi sumur. Dari pseudo log porositas, reservoar target secara stratigrafi dapat dibagi menjadi empat lapisan berdasarkan perbedaan nilai porositasnya. Untuk pseudo log saturasi air, dapat terlihat tiga kontak dan zona fluida reservoar, dimana terdapat zona gas, zona transisi, dan zona air. Dari hasil interpretasi distribusi reservoar tersebut direkomendasikan untuk pemboran dua sumur di lapangan X untuk memproduksi cadangan gas dan 1 sumur eksplorasi untuk membuktikan kandungan gas pada struktur build-up lain didekatnya.
ABSTRACT
The focus of this study is the process how to apply neural network method in 3D seismic data to generate pseudo log of both porosity and water saturation in a reservoir. Case of this study is carbonate build-up at Parigi formation in X field, a new gas discovery field, in North West Java basin where resevoir study for production development including geophysical aspect is very necessary. This study used statistical analysis approach based on corelation between seismic atribut and well log data which are log porosity and water saturation to get multi attribute as input for prediction process. Applying Neural Network can improve correlation and resolution between pseudo log and actual log both porosity and water saturation. The result of this study is quantitative ditribution of both porosity and water saturation in 3D psudo log volume which can be used for data supporting in geological modeling, reservoir simulation and reserves estimation. Then, those pseudo log are interpreted and mapped for characterization and well location delineation. Based on pseudo porosity log , the reservoir can be divided in four layers with different porosity value. For pseudo water saturation log, we can see contact and fluid zones of the reservoir which consist of gas zone, transition zone and water zone. According to interpretation pseudo log of both the porosity and the water saturation, can be recommended to drill two wells in X field to drain gas reserves and one exploration well to prove gas accumulation in other build-up stucture where is located near of X field
Jakarta: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2014
T42304
UI - Tesis Membership  Universitas Indonesia Library
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Andi Fadly
Abstrak :
[ABSTRAK
Aplikasi atribut seismik 3D dan sifat fisik batuan telah dapat memodelkan reservoar A Formasi Ledok Lapangan X Blok Cepu. Beberapa atribut seismik yang sesuai untuk mengidentifikasi penyebaran reservoar dilapangan ini adalah root mean square (rms), sweetness, dan impedansi akustik relatif. Dimana ketiga atribut seismik tersebut memperlihatkan suatu anomali amplitudo berupa bright spot yang diidentifikasi sebagai reservoar A dan memperlihatkan pola penyebaran berarah selatan-utara. Fasies reservoar A yang merupakan batugamping pasiran adalah reservoar yang sangat baik dalam menyimpan hidrokarbon gas dengan porositas 19% dan saturasi air sebesar 40%. Adanya faktor ketidakpastian dalam penentuan batas penyebaran reservoar A dari atribut seismik, model reservoar A di bagi menjadi tiga bagian yaitu perkiraan optimis (P90), perkiraan sedang (P50) dan perkiraan pesimis (P10). Keberadaan hidrokarbon gas di Lapangan X dikontrol oleh suatu perangkap stratigrafi bukan perangkap struktur hal ini terlihat dari tidak adanya tutupan (klosur). Berdasarkan sebaran reservoar melalui integrasi atribut seismik, properti batuan dan model reservoar diusulkan 4 (empat) sumur pemboran untuk mengembangkan lapangan gas X.
ABTRACT
Application of 3D seismic attributes and physical properties of reservoir rocks have been to model the formation Ledok A Field X Cepu Block. The seismic attributes, which can be used to identify distribution of the reservoir in this field were the root mean square (rms), sweetness, and relative acoustic impedance. The attributes of the seismic amplitude anomaly shows a bright spot in the form identified as reservoars A and show the pattern of northsouth trending deployment. A reservoir facies which is a sandy limestone reservoir was very good at keeping a hydrocarbon gas with 19% porosity and water saturation of 40%. The existence of uncertainty in the determination of reservoir distribution limit of seismic attributes. A reservoir model was divided into three parts, optimistic estimate (P90), moderate estimate (P50) and pesimistic estimate (P10). The existence of hydrocarbon gases in field X in was control by a stratigraphic traps compared to traps structure as seen from the absence of cover (closur). Based on integration of seismic attributes, rock properties and reservoar model proposed four (4) wells drilling to develop the gas field X.;Application of 3D seismic attributes and physical properties of reservoir rocks have been to model the formation Ledok A Field X Cepu Block. The seismic attributes, which can be used to identify distribution of the reservoir in this field were the root mean square (rms), sweetness, and relative acoustic impedance. The attributes of the seismic amplitude anomaly shows a bright spot in the form identified as reservoars A and show the pattern of northsouth trending deployment. A reservoir facies which is a sandy limestone reservoir was very good at keeping a hydrocarbon gas with 19% porosity and water saturation of 40%. The existence of uncertainty in the determination of reservoir distribution limit of seismic attributes. A reservoir model was divided into three parts, optimistic estimate (P90), moderate estimate (P50) and pesimistic estimate (P10). The existence of hydrocarbon gases in field X in was control by a stratigraphic traps compared to traps structure as seen from the absence of cover (closur). Based on integration of seismic attributes, rock properties and reservoar model proposed four (4) wells drilling to develop the gas field X.;Application of 3D seismic attributes and physical properties of reservoir rocks have been to model the formation Ledok A Field X Cepu Block. The seismic attributes, which can be used to identify distribution of the reservoir in this field were the root mean square (rms), sweetness, and relative acoustic impedance. The attributes of the seismic amplitude anomaly shows a bright spot in the form identified as reservoars A and show the pattern of northsouth trending deployment. A reservoir facies which is a sandy limestone reservoir was very good at keeping a hydrocarbon gas with 19% porosity and water saturation of 40%. The existence of uncertainty in the determination of reservoir distribution limit of seismic attributes. A reservoir model was divided into three parts, optimistic estimate (P90), moderate estimate (P50) and pesimistic estimate (P10). The existence of hydrocarbon gases in field X in was control by a stratigraphic traps compared to traps structure as seen from the absence of cover (closur). Based on integration of seismic attributes, rock properties and reservoar model proposed four (4) wells drilling to develop the gas field X., Application of 3D seismic attributes and physical properties of reservoir rocks have been to model the formation Ledok A Field X Cepu Block. The seismic attributes, which can be used to identify distribution of the reservoir in this field were the root mean square (rms), sweetness, and relative acoustic impedance. The attributes of the seismic amplitude anomaly shows a bright spot in the form identified as reservoars A and show the pattern of northsouth trending deployment. A reservoir facies which is a sandy limestone reservoir was very good at keeping a hydrocarbon gas with 19% porosity and water saturation of 40%. The existence of uncertainty in the determination of reservoir distribution limit of seismic attributes. A reservoir model was divided into three parts, optimistic estimate (P90), moderate estimate (P50) and pesimistic estimate (P10). The existence of hydrocarbon gases in field X in was control by a stratigraphic traps compared to traps structure as seen from the absence of cover (closur). Based on integration of seismic attributes, rock properties and reservoar model proposed four (4) wells drilling to develop the gas field X.]
Jakarta: Fakultas Matematika dan Ilmu Pengetahuan Alam, 2014
T43257
UI - Tesis Membership  Universitas Indonesia Library
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Dicki Hendrian
Abstrak :
[Usaha untuk mendapatkan data seismik yang baik serta interpretasi seismik dari data eksisting pada suatu lapangan yang mempunyai struktur kompleks relatif sukar untuk dilakukan. Pembuatan model ideal untuk parameter seismik dengan menggunakan Forward Modelling diharapkan mampu untuk membuat hubungan antara kompleksitas struktur dengan data seismik yang dihasilkan. Hasil dari pembuatan Forward Modelling yang dilakukan dibandingkan dengan data real menunjukkan bahwa response seismik pada zone prospek menunjukkan trend yang sama, dimana pada zona yang mengalami struktur geologi yang kompleks, response seismik kurang bagus. Hasil pengurangan trace data real versus synthetic pada lintasan UT88-520 dan UT88-535 masih menunjukkan residu yang cukup besar, sebagai akibat dari kompleksitas struktur geologi lapangan Tiaka. Hasil Forward Modelling dapat dijadikan sebagai pembanding dan validasi hasil seismik yang diharapkan untuk mendapatkan model seismik yang dapat menjadi acuan pada saat akuisisi seismik, agar didapatkan data seismik yang lebih baik. ......The effort to get good seismic data from very complex geological structure is very difficult; such as the case for interpreting the existing data. Ideal modeling for seismic survey using Forward Modeling hopefully can explain the correlativity between geological structural complexities and the seismic result that we get. The main result of this study show us that comparison between Forward Modeling against Real Data indicate that the trend of seismic response in prospect zone/target zone almost similar, while the seismic response in fracture zone is not clear. Subtractions results between real data against synthetic in line UT88-520 and UT88-535 still give significant remain, indicate that structural geology in Tiaka Field is very complex. The Modeling result can be use as the ideal result and can be use as validation/comparable result to get the certain model and can become reference for seismic acquisition.;The effort to get good seismic data from very complex geological structure is very difficult; such as the case for interpreting the existing data. Ideal modeling for seismic survey using Forward Modeling hopefully can explain the correlativity between geological structural complexities and the seismic result that we get. The main result of this study show us that comparison between Forward Modeling against Real Data indicate that the trend of seismic response in prospect zone/target zone almost similar, while the seismic response in fracture zone is not clear. Subtractions results between real data against synthetic in line UT88-520 and UT88-535 still give significant remain, indicate that structural geology in Tiaka Field is very complex. The Modeling result can be use as the ideal result and can be use as validation/comparable result to get the certain model and can become reference for seismic acquisition.;The effort to get good seismic data from very complex geological structure is very difficult; such as the case for interpreting the existing data. Ideal modeling for seismic survey using Forward Modeling hopefully can explain the correlativity between geological structural complexities and the seismic result that we get. The main result of this study show us that comparison between Forward Modeling against Real Data indicate that the trend of seismic response in prospect zone/target zone almost similar, while the seismic response in fracture zone is not clear. Subtractions results between real data against synthetic in line UT88-520 and UT88-535 still give significant remain, indicate that structural geology in Tiaka Field is very complex. The Modeling result can be use as the ideal result and can be use as validation/comparable result to get the certain model and can become reference for seismic acquisition., The effort to get good seismic data from very complex geological structure is very difficult; such as the case for interpreting the existing data. Ideal modeling for seismic survey using Forward Modeling hopefully can explain the correlativity between geological structural complexities and the seismic result that we get. The main result of this study show us that comparison between Forward Modeling against Real Data indicate that the trend of seismic response in prospect zone/target zone almost similar, while the seismic response in fracture zone is not clear. Subtractions results between real data against synthetic in line UT88-520 and UT88-535 still give significant remain, indicate that structural geology in Tiaka Field is very complex. The Modeling result can be use as the ideal result and can be use as validation/comparable result to get the certain model and can become reference for seismic acquisition.]
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2014
T43250
UI - Tesis Membership  Universitas Indonesia Library
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Fatimah
Abstrak :
[Lapangan FTM sebagai lapangan minyak dan gas bumi. Pada lapangan FTM terdapat dua reservoir gas dan reservoir minyak, yaitu formasi Minahaki dan Formasi Tomori. Penelitian yang dilakukan pada formasi Tomori dengan litologi batuan karbonat dan merupakan reservoir minyak yang berumur Miocene Akhir. Stuktur ini terbentuk oleh sesar mendatar (Trust fault) dengan sudut kecil yang berarah NE-SW. Identifikasi hidrokarbon pada studi ini didasarkan pada hasil metode dekomposisi spektral. Metode dekomposisi spektral berbasis ISA dan CWT digunakan untuk analisa anomali frekuensi rendah. Anomali frekuensi rendah berasosiasi adanya hidrokarbon. Analisa petrofisika pada lapangan FTM pada daerah hidrokarbon mempunyai porositas yang bagus dan saturasi air yang kecil. Hasil dari pemetaan zona prospek hidrokarbon dan analisa petrofisika ini diharapkan bisa dilakukan delineasi zona prospek untuk kepentingan survey seismik lebih lanjut dan acuan untuk proses pemboran.;FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process.;FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process.;FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process.;FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process.;FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process., FTM Field is one of the new fields as energy reserves in Indonesia as an oil and gas field. In the field there are two reservoirs FTM gas and oil reservoirs, namely the formation Minahaki and Tomori Formation. Research conducted on the formation lithology Tomori with carbonate rocks and an oil reservoir Late Miocene. This structure is formed by a horizontal fault (Trust fault) with a small angle of the NE - SW trending. Hydrocarbon determination using spectral decomposition method, based spectral decomposition method is used for analysis ISA and CWT low frequency anomaly. Low frequency anomaly associated hydrocarbon indicator. Petrophysical analysis FTM field have good porosity and water saturation small on hydrocarbon area. Results of mapping zones of hydrocarbon prospects and petro physical analysis is expected to be used for the benefit of the prospect delineation zone further seismic surveys and drilling of reference for the process.]
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2014
T43251
UI - Tesis Membership  Universitas Indonesia Library
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Yulianto
Abstrak :
Formasi Patchawarra terdapat pada Cekungan Cooper, Australia, merupakan salah satu formasi yang memiliki reservoir untuk gas dan minyak. Pertimbangan dilakukannya penelitian dalam formasi ini adanya data yang memberikan petunjuk mengenai keberadaan reservoir, khususnya batupasir untuk didapatkan pemodelan fasies untuk batupasir itu sendiri. Proses yang dilakukan dalam tahapan penelitian dimulai dengan evaluasi formasi secara vertikal dengan datadata sumur bor, yang kemudian di hubungkan dengan data lateral berupa atribut seismik, dalam hal ini digunakan 4 atribut, yaitu, RMS Amplitude, Relative Acoustic Impedance, Thin Bed Indicator, Instantaneous Frequency, yang masing masing memiliki karakteristik dan fungsi masing masing. Inversi seismik dilakukan untuk memberi pengamatan lebih detil mengenai penyebaran (kemenerusan horison) dan membandingkan nilai impedansi reservoir data sumur dengan data seismik secara lateral. Selain itu evaluasi formasi dilakukan untuk mendapatkan nilai properties bawah permukaan yang nantinya digunakan juga dalam pemodelan. Kesimpulan yang didapat dari hasil penelitian ini, Reservoir yang menjadi target penelitian ini memiliki lingkungan pengendapan yaitu fluvial dengan tipe sungai meandering, sedangkan bagian lain yang memiliki kandungan batubara yang cukup tebal merupakan back swamp bagian dari sistem fluvial yaitu meandering. Jadi Fungsi seismik atribut, inversi seismik, dan dikombinasikan dengan evaluasi formasi, dapat dipakai sebagai dasar dalam pemodelan fasies dan properties. ...... Patchawarra formation is part of Cooper Basin, Australia, is one that has a reservoir for gas and oil. Consideration of doing research in this formation for the data that give clues about the presence of the reservoir, particularly sandstones to be obtained for facies modeling itself. Processes are carried out in the research stage begins with the formation of vertically evaluation with drill wells data, which are then connected with the data in the form of lateral seismic attributes, in this case using four attributes, RMS amplitude, Relative Acoustic Impedance, Thin Bed Indicator, Instantaneous Frequency, which each have their own characteristics and functions. Seismic inversion is done to provide more detailed observations about the spread (continuity of the horizon) and comparing the impedance values reservoir the well data with seismic data laterally. Besides formation evaluation done to get the value of properties below the surface that will be used also in modeling. The conclusion of this study, reservoir target of this research has fluvial depositional environment is the type of meandering rivers, while other parts have a fairly thick coal deposits is back swamp is part of a meandering fluvial system. So the function of seismic attributes, seismic inversion, and combined with the formation evaluation, can be used as a basis for facies modeling and properties.
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2015
T44691
UI - Tesis Membership  Universitas Indonesia Library
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Marpaung, Rasdianto
Abstrak :
[ABSTRAK
Lapangan “Bravo Tango” merupakan salah satu lapangan eksplorasi yang telah terbukti keberadaan hidrokarbonnya melalui pengeboran sumur eksplorasi yaitu Siera-1 dan sumur delineasinya yaitu Siera-2. Adapun target reservoarnya adalah reservoar CD Carbonates yang tersusun atas batugamping dengan sisipan shale dari formasi Ngimbang yang berumur Eo-Oligosen. Pada daerah penelitian, CD Carbonates dapat dibagi atas 6 zona yaitu zona-A sampai dengan zona-F dengan ketebalan reservoar berkisar hanya 5-20 meter. Dalam pemodelan geometri reservoar, fasies diklasifikasikan berdasarkan rock typing (RT) dan secara lateral dilakukan pemodelan fasies pengendapan (depo-fasies). Dari pengamatan core dan log diketahui bahwa pengendapan dari arah Utara yaitu lingkungan swampy inner platform interior dicirikan oleh kehadiran batubara dan semakin ke arah Tenggara menunjukkan lingkungan laut yang lebih dalam dan semakin jauh lagi ke depannya diinterpretasikan sebagai lingkungan basinal. Properti reservoar yaitu porositas (PHIT) dipopulasikan di dalam geomodel dengan menggunakan hasil analisis seismik multiatribut. Dari penyebaran porositas diketahui bahwa di Utara penelitian memiliki porositas yang lebih baik dibandingkan dengan sebelah Tenggara. Kontribusi volum hidrokarbon berasal dari zona-A, zona-C dan zona-F dan diperlukan analisis lebih lanjut yaitu analisis uncertainty untuk mengurangi resiko dalam proses pengembangan lapangan nantinya.
ABSTRACT
“Bravo Tango” field is one of proven exploration field by drilling one exploration well, Siera-1 and its delineation Siera-2. Reservoir target is CD Carbonates that consist of limestone intercalated with shale from Ngimbang formation aged Eo-Oligocene. On this field, CD Carbonates can be divided into 6 zones: zone-A down to zone-F within 5-20m range of thickness. In geometry reservoir modeling, facies can be classified based on rock typing (RT) and laterally depositional facies modeling (depo facies) has been created. From core and log analysis can be interpretated that sedimentation from North which is swampy inner platform interior environment characterized by coal present and further to the NE part indicate deeper marine environment and far away in front of this area interpretated as basin. One of reservoir property which is porosity (PHIT) populated within geomodel use seismic multiattribute analysis. From spread of porosity population identified that Nothern part of this field has better porosity compare to SE part. Hidrocarbon volume contribution is come from zone-A, zone-C and zone-F and it is needed futher analysis such as uncertainty analysis to reduce risk during development process in the near future, “Bravo Tango” field is one of proven exploration field by drilling one exploration well, Siera-1 and its delineation Siera-2. Reservoir target is CD Carbonates that consist of limestone intercalated with shale from Ngimbang formation aged Eo-Oligocene. On this field, CD Carbonates can be divided into 6 zones: zone-A down to zone-F within 5-20m range of thickness. In geometry reservoir modeling, facies can be classified based on rock typing (RT) and laterally depositional facies modeling (depo facies) has been created. From core and log analysis can be interpretated that sedimentation from North which is swampy inner platform interior environment characterized by coal present and further to the NE part indicate deeper marine environment and far away in front of this area interpretated as basin. One of reservoir property which is porosity (PHIT) populated within geomodel use seismic multiattribute analysis. From spread of porosity population identified that Nothern part of this field has better porosity compare to SE part. Hidrocarbon volume contribution is come from zone-A, zone-C and zone-F and it is needed futher analysis such as uncertainty analysis to reduce risk during development process in the near future]
2015
T44079
UI - Tesis Membership  Universitas Indonesia Library
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Ivan Nugraha
Abstrak :
Daerah "Handayani" berada di Cekungan Sumatera Selatan dengan salah satu reservoar hidrokarbon adalah batupasir Formasi Talang Akar dengan ketebalan antara 8-20 meter yang berada dibawah ketebalan tuning seismik. Pada beberapa sumur di daerah penelitian, Formasi Talang Akar yang memiliki litologi batupasir telah terbukti produktif berisi hidrokarbon. Berdasarkan analisa plot uji silang pada beberapa sumur, parameter P-Impedance dan Gamma Ray tidak dapat digunakan untuk memisahkan lithologi batu pasir dan batu lempung daerah penelitian. Dekomposisi Spektral dilakukan dengan metode Constant Bandwidth (FFT) dan Constant Q (CWT). Analisa frekuensi dilakukan pada rentang frekuensi antara 10-40 Hz dimana kedua metode ini menghasilkan anomali low frequency shadow zone pada frekuensi 15Hz. Anomali disebabkan oleh adanya efek tuning pada lapisan tipis Talang Akar. Perhitungan gradien frekuensi dilakukan pada hasil dekomposisi spektral Constant Q (CWT) untuk mendapatkan gambaran penyebaran reservoar batupasir Talang Akar. Hasil gradien frekuensi dapat digunakan untuk melakukan estimasi ketebalan batupasir Talang Akar setelah dilakukan crossplot dengan net thickness pada sumur dengan angka korelasi 0.54. Penyebaran batupasir Talang Akar berada di daerah Selatan dan tenggara daerah penelitian.
"Handayani" area situated at South Sumatera Basin and below tuning thickness Talang Akar Formation sandstone reservoar as study objective. TAF sandstone reservoir in several wells within study area were proven as hydrocarbon producer wells. Based on cross plot analysis on several wells, P-Impedance and Gamma Ray parameter are not working in order to separate sandstone and shale lithology within study area. Constant Bandwidth (FFT) and Constant Q (CWT) were conducted as spectral decomposition method. Frequency analysis were conducted at frequency range between 10-40 Hz which both method were showing low frequency shadow zone anomaly at 15Hz frequency. This anomaly occurred from Talang Akar thin bed layer as tuning effect. Talang Akar thickness estimation has been conducted using frequency gradien approach from Constant Q (CWT) spectral decomposition results and bring fair correlation with net sand thickness of 0.54. Talang Akar sandstone reservoar distributed along south and southeastern flank of Handayani area.
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2015
T44078
UI - Tesis Membership  Universitas Indonesia Library
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