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"Telah dilakukan penelitian di lapangan "SG" pada Formasi Talang Akar Sub-Cekungan Jambi dengan studi inversi Acoustic Impedance (AI) dan Elastic Impedance (EI) untuk mengkarakterisasi reservoar. Struktur geologi yang berkembang disekitar daerah penelitian merupakan tinggian Sungai Gelam yang memiliki arah timurlaut (NE) - baratdaya (SW) dengan fasies fluvial pada Formasi Lower Talang Akar dan shallow marine pada Formasi Upper Talang Akar. Metode AI yang melibatkan kecepatan gelombang P (VP) dan densitas menjadi kurang sensitif untuk kehadiran fluida. Untuk itu dilakukan metode EI dengan melibatkan kecepatan gelombang P (VP), kecepatan gelombang S (VS), dan densitas sehingga lebih sensitif terhadap kehadiran fluida. Metode AI di lakukan pada data seismik post stack yang diinversi menghasilkan Volume AI untuk mengetahui lithology sedangkan metode EI dilakukan pada data seismik pre-stack dalam bentuk gather yang di mulai dengan super gather, kemudian merubah domain offset menjadi sudut (angle gather) dan menghasilkan data seismik near angle stack dan far angle stack yang selanjutnya diinversi menghasilkan volume EI near dan far untuk mengetahui sebaran fluida gas dengan pemilihan zona gas berdasarkan crossplot hasil inversi EI near dan far. Di dapatkan hasil pada penampang AI, zona sand berada pada nilai 20.500 ft/s*g/cc sampai dengan 29.000 ft/s*g/cc dan hasil crossplot inversi EI near dan far pada zona sand yang berpotensi mengandung gas didapatkan ketika nilai EI far lebih kecil dibandingkan nilai EI near. Sebaran reservoar yang berpotensi mengandung gas berada di sebelah barat daya sampai ke utara daerah penelitian ini.

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Acoustic Impedance (AI) and Elastic Impedance (EI) inversion study had been done on “SG” field on Talang Akar Formation, Sub-Basin Jambi for reservoir characterization. Geological structure that developed in this study area is a Sungai Gelam high which has North East (NE) – South West (SW) direction with fluvial facies in Lower Talang Akar Formation and also shallow marine facies in Upper Talang Akar Formation. AI method which involve P-wave velocity and density is insensitive to fluid. Thus, EI method which involve P-wave velocity, density and S-wave velocity implemented to made more sensitive to fluid presence. AI method had been done on seismic post stack data which inverted to AI volume to understand lithology of the field while EI method had been done on pre-stack seismic data gather which starts with super gather, then transform offset domain to angle domain and generate seismic near angle stack and far angle stack herein after inverted to generate EI volume near and far to perceive gas fluid distribution by gas zone selection based on crossplot inversion result of EI near and far. The result on AI section, sand zone is on 20,500 ft/s*g/cc up to 29,000 ft/s*g/cc and result of crossplot inversion EI near and far on sand zone, which potentially contain gas, obtained when EI far smaller than EI near. Reservoir distribution and potentially contain gas is on South-West to North of this area."

"Penelitian dilakukan pada reservoir batupasir di Lapangan "Deju" Formasi Talang Akar, Sub Cekungan Ciputat, Jawa Barat Utara. Struktur geologi yang berkembang di daerah penelitian adalah setengah graben dengan fasies pengendapan yang berkembang dari endapan fluvio-delta hingga endapan laut dangkal di puncak formasi Talang Akar. Karakterisasi waduk di lapangan sangat penting terutama dalam menentukan zona prospek waduk yang akan dikembangkan. Oleh karena itu, identifikasi sebaran litologi batuan reservoir dilakukan dengan menggunakan metode inversi seismik post stack dan sifat fisik reservoir menggunakan analisis petrofisika dapat memudahkan interpreter dalam mengkarakterisasi suatu reservoir. Metodologi penelitian meliputi pengolahan data seismik dan wireline logging, interpretasi horizon dan sesar, pembuatan peta struktur waktu, inversi seismik, dan analisis parameter petrofisika. Dengan metode inversi impedansi akustik seismik didapatkan bahwa trend sebaran reservoir batupasir hanya terkonsentrasi disekitar cekungan dengan range nilai impedansi akustik berkisar antara (8600 - 11000) (m / s) * (g / cc). Dalam perhitungan petrofisika diketahui bahwa sumur LL1 dan LL3 memiliki prospek hidrokarbon yang relatif baik, sedangkan sumur LL4 merupakan sumur prospek non hidrokarbon (dry hole).

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The research was conducted at a sandstone reservoir in the "Deju" Field of the Talang Akar Formation, Ciputat Sub Basin, North West Java. The geological structure that develops in the study area is a half graben with depositional facies that develops from fluvio-deltaic deposits to shallow marine deposits at the top of the Talang Akar formation. Reservoir characterization in the field is very important, especially in determining the zone of the reservoir prospect to be developed. Therefore, identification of reservoir rock lithology distribution is carried out using post stack seismic inversion method and reservoir physical properties using petrophysical analysis can facilitate interpreters in characterizing a reservoir. The research methodology includes seismic data processing and wireline logging, interpretation of horizons and faults, creation of time structure maps, seismic inversion, and analysis of petrophysical parameters. With the seismic acoustic impedance inversion method, it is found that the distribution trend of the sandstone reservoir is only concentrated around the basin with a range of acoustic impedance values ​​ranging from (8600 - 11000) (m / s) * (g / cc). In petrophysical calculations, it is known that LL1 and LL3 wells have relatively good hydrocarbon prospects, while LL4 wells are non-hydrocarbon prospects (dry hole)."

"Metode inversi EEI dapat mengkarakterisasi reservoar batuan, baik litologi maupun kandungan fluida pengisi pori. Metode EEI diharapkan dapat mengkarakterisasi reservoar di lokasi penelitian yang memiliki perselingan batuan pasir dan lempung dengan ketebalan kurang dari 60 ft. Parameter-parameter yang digunakan untuk melakukan inversi EEI pada penelitian ini adalah parameter yang memiliki koefisien korelasi yang tinggi antara log target dan log parameter pada sudut tertentu best chi angle . Parameter yang digunakan untuk melakukan inversi EEI pada penelitian ini adalah impedansi P AI , Vp/Vs, porositas total PHIT , dan volum lempung VCL.Hasil dari penelitian menunjukkan bahwa Formasi Lower Sihapas memiliki batuan pasir yang lebih dominan dibandingkan dengan Formasi Upper Sihapas. Pada batuan pasir di Formasi Lower Sihapas terdapat konten minyak yang ditandai dengan nilai volume lempung rendah, Vp/Vs rendah, dan saturasi air bernilai 25 - 60.

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EEI inversion method can characterize reservoir rock, either lithology and fluid content. EEI method hopefully can characterize reservoir in research area that have lithology of sand and shale which have less than 60 ft thickness. Parameters that are used in EEI inversion are parameters that have high value of correlation coefficient Parameters that are used in this research are P impedance, Vp Vs, total porosity PHIT , and volume of clay VCL.

The results show that lithology in Lower SIhapas Formation have more dominant sandstone than Upper Sihapas Formation. Sandstone in Lower Sihapas Formation have oil content which is identified by low value of VCL, low value of Vp Vs, and water saturation value range from 25 60."

"Penelitian dilakukan pada lapangan 'Sandara' yang terletak kurang lebih 22 km di sebelah timur laut kota Cepu pada Cekungan Jawa Timur Utara. Tujuan penelitian ini adalah untuk mengidentifikasi perbedaan batupasir formasi Ngrayong pada horison L1 dan L5 serta mengetahui karakteristik reservoar batupasir tersebut dengan memanfaatkan data seismik 3D yang dianalisis dengan metode inversi seismik impedansi akustik berbasis model dan data log sumur SAN-01, SAN-02, SAN-04, dan SAN-07 yang di analisis petrofisika dengan metode determin. Hasil menjelaskan bahwa batu pasir pada area sekitar sumur SAN-01, SAN-02 dan SAN-04 yang terdapat di sebelah barat laut area penelitian merupakan reservoar dengan kandungan lempung bernilai antara 30 - 50%, saturasi air antara 60 - 70%, dengan porositasnya bernilai 15 - 20%, permeabilitasnya bernilai lebih dari 250 mD, dan nilai impedansi akustiknya kurang dari 7000 m/s*gr/cc. Sedangkan area yang berada disekitar sumur SAN-07 mengarah sebelah tenggara area penelitian mendeskripsikan reservoar dengan nilai kandungan lempung bernilai rendah yaitu 30%, namun nilai saturasi air bernilai cukup tinggi mendekati 90%, nilai porositasnya lebih rendah yaitu sebesar 10%, permeabilitasnya juga lebih rendah bernilai dari 163 mD dan nilai impedansi akustiknya lebih dari 8000 m/s*gr/cc. Berdasarkan hasil analisa petrofisika dan inversi impedansi akustik, rekomendasi titik bor selanjutnya dapat disarankan pada daerah yang dangkal (di area puncak antiklin), memiliki nilai impedansi di bawah 7000 m/s*g/cc dan berada di sekitar sumur SAN-01, SAN-02, SAN-04.

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The study has been held in 'Sandara' field which located approximately 22 km in the northeast of Cepu region, Northeast Java Basin. The purpose of this study are to identify differences in the sandstone formations of Ngrayong L1 and L5 horizon and to determine the characteristics of the sandstone reservoir by utilizing 3D seismic data that is analyzed with acoustic impedance seismic inversion method based on model and log data from SAN-01, SAN-02, SAN-03, and SAN-04 wells in petrophysical analysis by determin method. The results is the sandstone around SAN-01, SAN-02, and SAN-04 wells have composition of shale volume is between 30 - 50%, water saturation is between 60 - 70%, the porosity value is between 15 - 20%, the permeability is above 250 mD, and the acoustic impedance is bellow 7000 m/s*gr/cc. Meanwhile, the area around SAN-07 well or the area which is located in the southeast direction of the study area have composition of shale volume is around 30%, water saturation is almost 90%, the porosity value is near 10%, the permeability is at 163 mD, and the acoustic impedance is above 8000 m/s*gr/cc. Based on the petrophysical analysis and the acoustic impedance seismic inversion results, the recommendations of the next drilling point are suggested in the crest of the anticline area and have an impedance value below 7000 m/s*g/cc, and located near the SAN-01, SAN-02, SAN-04 wells."

"Inversi Extended Elastic Impedance (EEI) merupakan teknik inversi seismik yang secara optimal dapat memprediksi karakter dan keberadaan reservoar hidrokarbon dengan perluasan sudat datang gelombang dari -90° hingga 90°. Pada penelitian Lapangan ?Q? Sub-Cekungan Jambi, inversi EEI mampu mengkarakterisasi reservoar batupasir dan memprediksi keberadaan gas maupun minyak melalui parameter Vp/Vs ratio, lambda-rho dan mu-rho. Dalam inversi EEI dilakukan korelasi untuk mencari nilai korelasi maksimum pada sudut chi (χ) tertentu dari setiap parameter dengan melakukan korelasi antara log EEI dengan log target. Nilai sudut chi (χ) optimum atau best-chi agle ini kemudian digunakan untuk membuat volume scaled reflectivity yang dipakai dalam pembuatan model awal dan juga inversi. Proses inversi dilakukan dengan menggunakan inversi post-stack model based yang baik digunakan pada reservoar lapisan tipis. Hasil inversi selanjutnya digunakan untuk mengetahui penyebaran reservoar dimana hasilnya menunjukkan adanya kemungkinan resevoar yang mengandung gas dan minyak. Pada penelitian, nilai Vp/Vs ratio berkisar antara 16-18, nilai mu-rho berkisar antara 25-35 (GPa*(g/cc)) dan lambda-rho untuk gas berkisar antara 20-22 (GPa*(g/cc)) dan lambda-rho untuk minyak berkisar 25-27 (GPa*(g/cc)).

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Extended Elastic Impedance (EEI) inversion method is a seismic inversion technique that optimally can predict the character and the presence of hydrocarbon reservoir with the expansion of the angle?s coming wave from -90 ° to 90 °. In the field of research 'Q' Sub-Basin Jambi, EEI is able to characterize sandstones reservoir and predict the existence of gas or oil through the parameter of Vp / Vs ratio, lambda-rho and mu-rho. EEI is performed in correlation to seek the maximum correlation value at an optimum chi (χ) angle of each parameter specified by the correlation between the targets? logs with the EEI?s logs. Optimum chi (χ) angle or a best-chi angle is then used to create a scaled volume reflectivity that is used in making the initial model and also in inversion process. Inversion is done using post-stack inversion based model which is best used on thin reservoir layer. Inversion results are then used to determine the spread of the reservoir where the results indicate the possibility resevoar containing gas and oil. In the study, the value of Vp / Vs ratio ranged between 16-18, the mu-rho values ​​ranged between 25-35 (GPa * (g / cc)), the lambda-rho values for gas ranged between 20-22 (GPa * (g / cc)) and for oil ranged between 25-27 (GPa * (g / cc)).

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"ABSTRAKLapangan WR yang merupakan area target penelitian berada pada cekungan Bonaparte, dengan target reservoar batupasir berumur jurassic dan fluida yang tersaturasi berupa gas. Karakter reservoar dari data sumur mengindikasikan lingkungan pengendapan daerah Estuarine, dengan tipe batupasir yang blocky dengan sedikit sisipan serpih. Terdapat data seismik 3D prestack dan tiga data sumur yang memiliki kecepatan gelombang-P Vp dan gelombang-S Vs . Dalam perkembangannya terdapat tiga metode dengan memanfaatkan Vp dan Vs yaitu Extended Elastic Impedance EEI 2002 , Poisson Impedance PI 2006 , dan Curved Pseudo Elastic Impedance CPEI 2014 . Ketiga metode tersebut diaplikasikan pada data seismik dan sumur untuk melihat perbandingannya dalam mengkarakterisasi reservoar pada lapangan WR berupa persebaran litologi dan fluida secara lateral maupun vertikal. Hasil yang didapat dari ketiga metode tersebut berkorelasi baik dengan litologi pada nilai sudut chi ? untuk EEI 30 , PI 59 , dan CPEI -69 , sedangkan dengan fluida didapatkan nilai chi ? yang berkorelasi dengan EEI 20 , PI 51 , dan CPEI -60 . Korelasi tertinggi terhadap target log litologi yaitu log GR dan fluida berupa log SW dari ketiga metode tersebut adalah metode CPEI dengan korelasi 0.881 untuk log GR dan 0.604 untuk log SW. Secara vertikal dari ketiga metode tersebut menunjukkan karakter reservoar yang cukup baik dengan tingkat saturasi gas yang cukup tinggi. Hasil persebaran lateral dari ketiga metode tersebut menunjukkan karakter lingkungan pengendapan pada reservoir target berada pada lingkungan estuarine, dengan arah dari sumber supplay sedimen berarah tenggara, dan hasil ini cocok dengan konsep geologi regional pada lapangan tersebut.

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ABSTRACTThe WR field, which is the target area of the study, is in the bonaparte basin, with the target of jurassic sandstone reservoirs with saturated gas fluid. The reservoir character of the well data indicates the deposition environment of the estuarine region, with blocky sandy type with slight shale inserts. There are prestack 3D seismic data and three well data that have P wave velocity Vp and S wave Vs . In its development there are three methods by utilizing Vp and Vs namely Extended Elastic Impedance EEI 2002 , Poisson Impedance PI 2006 , and Curved Pseudo Elastic Impedance CPEI 2014 . All three methods are applied to seismic and well data to see the comparison in characterizing reservoir on WR field in the form of lateral and vertical lithology and fluid spread. The results obtained from these three methods correlate well with lithology at the angle value of chi for EEI 300 , PI 590 , and CPEI 690 , whereas with fluid obtained chi values correlated with EEI 200 , PI 510 , and CPEI 600 . The highest correlation to the log lithology targets ie log GR and the SW log flu of the three methods is the CPEI method with the correlation of 0.881 for the GR log and 0.604 for the SW log. The vertical of the three methods shows a good reservoir character with high saturation rate of gas. The result of the lateral distribution of the three methods shows the character of the deposition environment in the target reservoir located in the estuarine environment, with the direction from the source of the southeast centered sedimentary sediment, and the result matches the regional geological concept in the field. "

"Penyebaran Porositas pada reservoir lapangan minyak bisa dilakukan dengan berbagai pendekatan. Hal ini didasarkan pada beberapa pertimbangan seperti kondisi lapangan dan ketersediaan data. Salah satu metode yang sering digunakan adalah Inversi Impedansi Akustik dan Multiatribut Neural Network. Lapangan Z adalah lapangan tua yang masih produksi berlokasi di Sumatra tengah milik PT. Pertamina Hulu Energi dengan jarak 120 km dari pekanbaru. Lapangan ini terdiri dari 5 formasi yaitu telisa, sand A, sand B, dan Sand C. Jumlah keseluruhan lapisan batupasir adalah 13 lapisan dimana ke 13 lapisan tersebut produktif. Adapun data yang tersedia adalah data sumur berjumlah 4 memiliki data sonic dan data seismic 3D lapangan tersebut. Penyebaran porositas dengan menggunakan Inversi Impedansi Akustik tidak dimasukan menjadi input untuk Multiatribut Neural Network. Dari analisis crossplot pada formasi target yaitu bangko didapatkan cut-off besaran fisis reservoir yaitu Nilai cut-off densitas dan porositas reservoir batupasir berkisar antara 2,14 ndash; 2,33 g/cc dan 0,15 ndash; 0,3 fraction . Dari hasil penelitian yang sudah dilakukan dengan inversi akustik menggunakan sumur Z-1 dan Z-2. Probabilistic neural network memperbesar nilai korelasi dari multiatribut regresi sehingga lebih baik dalam menyebarkan porsitas dibandingkan inversi impedansi akustik pada lapangan ini. Rekomendasi pengembangan lapangan yaitu arah timur laut dari sumur Z-1 karena menunjukan nilai porositas lebih baik daripada daerah sekitarnya yaitu 0.15 ndash; 0.18 fraction.

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Porosity Distribution in oil field reservoir can be done with various approaches. It is based on several considerations such as field conditions and data availability. One of the most commonly used methods is Inversion of Acoustic Impedance and Multiple Neural Network. Field Z is an old field still in production located in Central Sumatra owned by PT. Pertamina Hulu Energi, 120 km from Pekanbaru. The field consists of 5 formations namely Telisa, Sand A, Sand B, and Sand C. The total layer of sandstone is 13 layers where it is produced. The available data are wells data amounted to 4 have sonic data and 3D seismic data of that field. The dispersion of porosity by using the Acoustic Impedance Inversion is not included as the input for Multiattribute Neural Network.

From cross plot analysis on the target formation of bangko, a cut off density of the reservoir and the porosity of the sandstone reservoir ranged from 2.14 to 2.33 g cc and 0.15 to 0.3 fraction.

From the results of research that has been done with acoustic inversion using Z 1 and Z 2 wells. Probabilistic neural networks increase the correlation value of multi attributes regression so that it is better to propagate porosity than the inversion of acoustic impedance in this field. The field development recommendation is the northeast direction of the Z 1 well because it shows better porosity value than the surrounding area is 0.15 0.18 fraction."

"Inversi seismik konvensional yang menghasilkan penampang impedansi akustik kini terbatas dalam mengidentifikasi litologi. Telah dilakukan inversi prestack yakni simultaneous inversion yang mampu memprediksi tidak hanya parameter impedansi akustik, tetapi juga impedansi shear, dan densitas untuk mengatasi hal tersebut. Dengan memperoleh ketiga parameter tersebut, akan dapat diperoleh paramater lame berupa lamda-rho dan mu-rho yang lebih sensitif terhadap litologi dan fluida untuk mempertajam indentifikasi litologi maupun fluida reservoar. Inversi simultan, yang bertujuan mengkarakterisasi reservoar batupasir dan penyebaran gas ini, dilakukan pada kasus Lapangan ?C‟ yang terletak di Cekungan Natuna Barat. Inversi dilakukan pada data angle stack baik itu near angle stack (5o-15o), mid angle stack (15o-25o), dan far angle stack (25o-35o) dengan dua kontrol sumur yakni sumur CS-1 dan CSR-3. Inversi yang dilakukan juga meliputi analisis lambda-rho dan mu-rho yang diturunkan dari parameter impedansi akustik dan impedansi shear. Hasil yang diperoleh adalah penyebaran reservoar batupasir dapat diprediksi dengan menggunkan parameter impedansi shear dan mu-rho dengan cut off impedansi shear ± 3300 m/s*g/cc dan cut off mu-rho ± 11 GPa*g/cc sementara keberadaan gas dapat diprediksi dengan menggunakan parameter lambda-rho dan VpVs ratio dengan cut off lambda-rho ± 11 - 20 GPa*g/cc dan cut off VpVs ratio ± 1.8. Dengan demikian, reservoar batupasir dapat diperkirakan terletak di sekitar inversion anticline dengan pola pengendapan channel yang berada di sebelah tenggara daerah penelitian.

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Conventional seismic inversion that produces cross-sectional acoustic impendance is limited in identifying lithology. Prestack inversion i.e.simultaneous inversion that is capable of predicting not only acoustic impedance parameter, but also the shear impedance and density has been applied to solve that problem. By obtaining these three parameters, we can get the parameters of lambda-rho and mu-rho that are more sensitive to lithology and fluid to sharpen the identification of lithology and fluid reservoir.

Simultaneous inversion, that aims to characterize the sandstone reservoir and the distribution of gas, done in the case of ?C‟ Field located in the West Natuna Basin. Inversion performed on the data near angle stack (5o-15o), mid angle stack (15o-25o), and far angle stack (25o-35o) with two control wells CS-1 and CSR-3. Inversion carried out also includes the analysis of lambda-rho and mu-rho derived from the acoustic impedance and shear impedance.

The obtained results are the distribution of sandstone reservoir can be predicted using the parameter of shear impedance and mu-rho with shear impedance cut off ± 3300 m/s*g/cc & mu-rho cut off ± 11 GPa*g/cc while the presence of gas can be predicted by using the parameter of lambda-rho and VpVs ratio with lambda-rho cut off ± 11 - 20 GPa*g/cc & VpVs ratio cut off ± 1.8. Thus, estimated sandstone reservoir is located around inversion anticline with the channel deposition in the southeast area of research."

"Metode seismik refleksi merupakan metode yang biasa digunakan untuk memetakan hidrokarbon. Reservoir dapat dikarakterisasi menggunakan metode inversi mengubah data seismik menjadi nilai impedansi akustik batuan dan metode dekomposisi spektral digunakan untuk mendeliniasi low frequency shadow pada lapisan reservoir yang disebabkan oleh keberadaan hidrokarbon, sehingga gabungan kedua metode tersebut digunakan untuk mendistribusi sebaran reservoir hidrokarbon pada zona target. Pada penilitian kali ini metode inversi yang digunakan yaitu inversi model-based, sedangkan metode dekomposisi spektral yang digunakan yaitu continuous wavelet transform. Berdasarkan hasil dari penilitian menunjukkan bahwa persebaran reservoir dengan nilai impedansi akustik rendah berada di inline 1583, inline 1290, inline 1360, dan inline 1399. Dari keempat inline tersebut 3 diantaranya hasil dekomposisi spektral mendeliniasi low frequency shadow yang pada inline 1290, inline 1360 dan inline 1399, sedangkan inline 1583 menghasilkan high frequency anomaly hal ini dapat terjadi akibat efek dari ketebalan reservoir yang kurang dari ¼ I>>. Lapisan reservoir memiliki nilai impedansi akustik 18000-19000 ft.g/s.cc dan anomaly frekuensi rendah 20 Hz mengindikasikan keberadaan gas di lapisan reservoir, sedangkan inline 1583 fenomena high frequency anomaly menandakan bahwa lapisan reservoir memiliki ketebalan yang tipis dan mengindikasikan kandungan fluida gas.

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Seismic reflection is a method commonly used to map hydrocarbons. The reservoir can be characterized using the inversion method by converting seismic data into acoustic impedance values of rock and spectral decomposition methods are used to delineate low-frequency shadow beneath reservoir caused by the presence of hydrocarbon, the combination of this two methods is used to distribute the hydrocarbon reservoir in the target zone. The inversion used in this research is a model-based inversion, while the spectral decomposition method used is continuous wavelet transform. Result of this study shows that reservoir distribution with low acoustic impedance located on inline 1583, inline 1290, inline 1360, inline 1399. Three of four inline show by spectral decomposition result delineating low-frequency shadow at inline 1290, inline 1360 dan inline 1399, while inline 1583 produces high-frequency anomaly this phenomena could occur due to effect of reservoir thickness is less than ¼ I>>. The reservoir has an acoustic impedance value of 18000-19000 ft.g/s.cc and low-frequency shadow beneath reservoir have 20 Hz frequency indicates the presence of hydrocarbon, while inline 1583 show high-frequency anomaly 60 Hz this phenomena show that the reservoir thickness is thin and indicated containing gas fluid."

"[ABSTRAKIdentifikasi keberadaan hidrokarbon di bawah permukaan bumi merupakansalah satu tujuan utama dalam eksplorasi lapangan minyak bumi dalam usahamengidentifikasi keberadaan hidrokarbon. Impedansi-poisson yang merupakansalah satu metoda yang digunakan untuk mendiskriminasi sifat fisis batuanterhadap fluida dengan cara mengamati sensitivitas dari rasio poisson telahditerapkan lebih lanjut untuk menghasilkan suatu metoda turunan yang lebih baik.Pendekatan sifat fisika batuan antara impedansi-poisson dengan log sumuran yangmerepresentasikan properti batuan menghasilkan suatu metoda turunan yangdinamakan impedansi-litologi. Sedangkan pendekatan sifat fisis fluida yangterkandung didalam batuan terhadap impedansi-poisson menghasilkan diskriminasikandungan fluida didalam batuan yang kemudian dinamakan impedansi-fluida.Metoda TCCA – Target Coeffisien Corellation Analysis – yang digunakanuntuk mencari koefisien korelasi tertinggi dari sifat fisis batuan terhadapimpedansi-poisson telah digunakan dalam penelitian ini untuk menghasilkan logsumuran impedansi-litologi dan impedansi-fluida yang kemudian di propagasidengan neural network. Hasil propagasi impedansi-litologi digunakan sebagaiinput untuk kalkulasi atribut koherensi yang diperkuat dengan hasil propagasiimpedansi-fluida untuk menghasilkan prediksi sebaran batuan reservoar.Dari hasil penelitian pada horison FS33 terlihat pola channel yangterbentuk dan tervalidasi dengan data sumur. Demikian juga pada sayatan horisonFS37, pola channel batuan reservoar terlihat dengan jelas dan tervalidasi terhadapdua sumur yang dilalui. Sedangkan pada sayatan horison FS42 selainteridentifikasi pola channel reservoar yang terbentuk, teridentifikasi juga batuankarbonat yang divalidasi dengan data sumur dan data batuan inti

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ABSTRACTHydrocarbon identification in subsurface is one of main goals in petroleumexploration so that the litho-fluid content discriminations are a part of hydrocarbonidentifications which have been widely applied today. Poisson-impedance which isone of the new methods that are used to discriminate rocks by examining thesensitivity of physical rock properties of poisson-ratio has been further developedto produce derivatives method. Physical properties approaches between poissonratioand a well-log which represents rock properties can be used to get highestcorrelation to produce a new derivative well-log named lithology-impedance. As afluid-rock properties approach between poisson-ratio and a well-log representslitho-fluid content properties produces a new derivative well-log named fluidimpedance.TCCA method –Target Coeffisien Corellation Analyst– is used to find thehighest correlation coefficient of the physical properties of rock fluid on thepoisson ratio has been used in this study to generate two new derivatives well-logwhich would be propagated by means of neural-networks. The result of lithologyimpedancepropagation is further proceed with seismic coherence attribute as areflection of geology and stratigraphy forms which are then combined with fluidimpedancepropagation result to emphasize reservoir prediction distributionlaterally.The study results of FS33 slicing discovers sand channels pattern andvalidated by well-log. Similarly with horizon slicing of FS37, patterns of sandchannels reservoir are clearly visible and validated against two well-logs thatpassed. While on horizon slicing of FS42 besides discovering sand channels,carbonate rocks is also identified which is validated by well-log and core sampleanalyst.;Hydrocarbon identification in subsurface is one of main goals in petroleumexploration so that the litho-fluid content discriminations are a part of hydrocarbonidentifications which have been widely applied today. Poisson-impedance which isone of the new methods that are used to discriminate rocks by examining thesensitivity of physical rock properties of poisson-ratio has been further developedto produce derivatives method. Physical properties approaches between poissonratioand a well-log which represents rock properties can be used to get highestcorrelation to produce a new derivative well-log named lithology-impedance. As afluid-rock properties approach between poisson-ratio and a well-log representslitho-fluid content properties produces a new derivative well-log named fluidimpedance.TCCA method –Target Coeffisien Corellation Analyst– is used to find thehighest correlation coefficient of the physical properties of rock fluid on thepoisson ratio has been used in this study to generate two new derivatives well-logwhich would be propagated by means of neural-networks. The result of lithologyimpedancepropagation is further proceed with seismic coherence attribute as areflection of geology and stratigraphy forms which are then combined with fluidimpedancepropagation result to emphasize reservoir prediction distributionlaterally.The study results of FS33 slicing discovers sand channels pattern andvalidated by well-log. Similarly with horizon slicing of FS37, patterns of sandchannels reservoir are clearly visible and validated against two well-logs thatpassed. While on horizon slicing of FS42 besides discovering sand channels,carbonate rocks is also identified which is validated by well-log and core sampleanalyst.;Hydrocarbon identification in subsurface is one of main goals in petroleumexploration so that the litho-fluid content discriminations are a part of hydrocarbonidentifications which have been widely applied today. Poisson-impedance which isone of the new methods that are used to discriminate rocks by examining thesensitivity of physical rock properties of poisson-ratio has been further developedto produce derivatives method. Physical properties approaches between poissonratioand a well-log which represents rock properties can be used to get highestcorrelation to produce a new derivative well-log named lithology-impedance. As afluid-rock properties approach between poisson-ratio and a well-log representslitho-fluid content properties produces a new derivative well-log named fluidimpedance.TCCA method –Target Coeffisien Corellation Analyst– is used to find thehighest correlation coefficient of the physical properties of rock fluid on thepoisson ratio has been used in this study to generate two new derivatives well-logwhich would be propagated by means of neural-networks. The result of lithologyimpedancepropagation is further proceed with seismic coherence attribute as areflection of geology and stratigraphy forms which are then combined with fluidimpedancepropagation result to emphasize reservoir prediction distributionlaterally.The study results of FS33 slicing discovers sand channels pattern andvalidated by well-log. Similarly with horizon slicing of FS37, patterns of sandchannels reservoir are clearly visible and validated against two well-logs thatpassed. While on horizon slicing of FS42 besides discovering sand channels,carbonate rocks is also identified which is validated by well-log and core sampleanalyst., Hydrocarbon identification in subsurface is one of main goals in petroleumexploration so that the litho-fluid content discriminations are a part of hydrocarbonidentifications which have been widely applied today. Poisson-impedance which isone of the new methods that are used to discriminate rocks by examining thesensitivity of physical rock properties of poisson-ratio has been further developedto produce derivatives method. Physical properties approaches between poissonratioand a well-log which represents rock properties can be used to get highestcorrelation to produce a new derivative well-log named lithology-impedance. As afluid-rock properties approach between poisson-ratio and a well-log representslitho-fluid content properties produces a new derivative well-log named fluidimpedance.TCCA method –Target Coeffisien Corellation Analyst– is used to find thehighest correlation coefficient of the physical properties of rock fluid on thepoisson ratio has been used in this study to generate two new derivatives well-logwhich would be propagated by means of neural-networks. The result of lithologyimpedancepropagation is further proceed with seismic coherence attribute as areflection of geology and stratigraphy forms which are then combined with fluidimpedancepropagation result to emphasize reservoir prediction distributionlaterally.The study results of FS33 slicing discovers sand channels pattern andvalidated by well-log. Similarly with horizon slicing of FS37, patterns of sandchannels reservoir are clearly visible and validated against two well-logs thatpassed. While on horizon slicing of FS42 besides discovering sand channels,carbonate rocks is also identified which is validated by well-log and core sampleanalyst.]"