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Abstrak :
Klasifikasi fluida serta estimasi porositas berdasarkan teorema Bayes telah dilakukan dengan menggunakan hasil inversi seismik simultan sebagai inputnya pada karbonat formasi Kujung di cekungan Jawa Timur, Indonesia. Banyak literatur yang menjelaskan ambiguitas dari karakterisasi batuan karbonat berdasarkan anomali AVO. Studi ini dilakukan untuk menghasilkan klasifikasi dan estimasi yang memiliki tingkat kepastian berdasarkan teorema Bayes. Kami melakukan dua fasa karakterisasi, kualitatif dan kuantitatif. Dalam karakterisasi secara kualitatif, 2 kelas/tipe fluida didefinisikan, yaitu gas dan wet. Sebelum ada informasi baru, diasumsikan probabilitas prior dua kelas ini adalah sama, 50:50. Distribusi probabilitas awal dari dua kelas ini kemudian ditentukan melalui data sumur, distribusi ini akan menjadi likelihood function. Impedansi akustik, rasio Vp/Vs, dan densitas kemudian diturunkan dari inversi seismik simultan. Atribut ini adalah informasi baru yang akan digunakan untuk mengupdate probabilitas prior tadi menjadi probabilitas posterior dengan menggunakan teorema Bayes, probabilitas posterior ini merepresentasikan klasifikasi fluida pada setiap tras seismik. Dalam proses lainnya untuk karakterisasi secara kuantitatif, distribusi porositas dan saturasi didefinisikan menggunakan hubungan dasar kecepatan terhadap porositas dan saturation. Probabilitas prior didefinisikan berdasarkan data sumur, kemudian simulasi stokasik dilakukan untuk menghasilkan likelihood function yang membentuk probabilitas bersama antara porositas dan saturasi, sebelum akhirnya diaplikasikan untuk estimasi porositas dan saturasi berdasarkan skema Bayes. Hasil akhir dari langkah kerja ini adalah data 3D dari tipe fluida yang berasoasi dengan probabilitas dan ketidakpastian untuk tiap posisi. Data 3 dimensi ini terdiri atas probabilitas wet, probabilitas gas, dan juga estimasi kuantitatif dari porositas dan saturasinya. Hasil langkah kerja pada area studi kami menunjukkan potensi pay zone berada pada flank dari buildup carbonate tersebut. ......Bayesian fluid classification and Bayesian porosity-saturation estimation has been done using simultaneous seismic inversion result as the input in Kujung carbonate from East Java Basin, Indonesia. Many literatures described the limitation of carbonate characterization based on AVO anomaly. This study carried out to present the classification and estimation result with level of confidence based on Bayesian theorem. We have done two phases of characterization, qualitative and quantitative. In qualitative characterization, two classes of fluid were defined, these are gas and wet. Before any new information, it is assumed that the prior probability density function (PDF) of these two classes is the same, 50:50. Initial distribution of each wet and gas filled carbonate were then estimated from well log data, these are the likelihood function. Acoustic impedance, Vp/Vs ratio, and density were then derived from 3D multi stacks seismic data using simultaneous AVO inversion. These attributes are the new information required to update our prior distribution to have final posterior PDF using Bayesian theorem that represent fluid classification for each traces. In the other process for quantitative characterization, the porosity and saturation distribution were defined using basic velocity to porosity & saturation relationship (rock physics analysis). The prior PDF is defined based on analyzed well data, and stochastic simulation was done to generate likelihood function to form joint PDF between porosity and saturation, before finally applied to estimate porosity and saturation cube using Bayesian Scheme. The final product of the proposed workflow is 3D fluid cube of reservoir with associated probabilities and uncertainties which consist of probability of wet carbonate and gas carbonate, also quantitative estimation of porosity and saturation. The result shows that potential pay zone for this particular carbonate was lying on the flank of the buildup carbonate.

Abstrak :
ABSTRACT
Batumerah area is located in the Aru Basin, offshore South Papua. One well has already been drilled in this area and gave inconclusive gas discovery. The well indicates that there may have good potential reservoir zone, but no definite information was gathered from the well to confirm the statement. A comprehensive evaluation like reservoir characterization study by integrating well data, seismic data and geological interpretation is required to resolve this uncertainty and predict the hydrocarbon potential of the Batumerah area. Due to limited well data, the most applicable reservoir characterization study in Batumerah Area is Seismic Simultaneous Inversion. Simultaneous inversion is a relatively new and extremely powerful form of inversion. The detailed technique essentially takes several seismic angle stacks and inverts them simultaneously. The result is two primary volumes of absolute rock properties tightly calibrated to the well log data: P-Impedance and S-Impedance. Additional outputs include: Vp/Vs, porosity and Lambda Rho volumes. Having these extra datasets take the explorationist into a new world of possibilities. The application of a simultaneous inversion algorithm to the seismic angle stacks in Batumerah area has demonstrated the ability to minimize uncertainty and addressing some issues regarding the lithology and reservoir properties due to data limitation. Even though most of well log data are derived from model and only one well exists on the inversion area, nevertheless, the simultaneous inversion results that are interpretative results provide best estimation and prediction for reservoir characterization on the Batumerah area.

Abstrak :
[Lapangan AAA merupakan salah satu lapangan gas terbesar di Indonesia. Karakteristik reservoir bagian dangkal lapangan ini berupa batuan pasir dengan lingkungan pengendapan fluvio deltaik berupa channel yang tebal dan diisi gas pada formasi Kampung Baru. Untuk pemetaan reservoir dan hidrocarbon di daerah ini, tidak dapat dilakukan dengan metode inversi akustik impedance (AI) karena pada kasus ini AI tidak dapat digunakan untuk memisahkan jenis litologi. Dari hasil analisa sensitivitas didapatkan informasi bahwa log densitas dan log Gamma Ray (GR) dapat digunakan untuk memisahkan lithology dan log Lamda-Rho (LR), VP/VS, Poison’s Ratio (PR), Lamda/Mu (L/M) dapat digunakan untuk memisahkan fluida. Metode inversi simultan digunakan untuk menghitung atribut densitas dan LR dari seismik sehingga dapat diketahui sebaran litologi dan fluida pada daerah ini. Untuk selanjutnya hasil inversi tersebut digunakan dalam pemodelan geologi statik untuk menghitung cadangan. Hasil inversi simultan memperlihatkan ada dua daerah prospek yang besar yaitu pada daerah sumur 3A55 atau segmen AA dan daerah sumur 3G51 atau segmen G. Kedua prospek ini berada pada zona antara marker MFB-MF1 tepatnya pada zona A205 pada model statik yang telah di buat. Hasil perhitungan cadangan pada zona ini di dapatkan cadangan sebesar setengah dari total cadangan area yang di pelajari pada penelitian ini.;AAA field is one of the largest gas fields in Indonesia. Reservoir characteristics of the shallow part of this field are sandstone with depositional environment fluvio deltaik with thick channel and the gas filled formation of Kampung Baru. Reservoirs and hydrocarbon mapping in this area, cannot be done with an acoustic impedance inversion method (AI) because of the results of the sensitivity analysis AI cannot separate the existing lithology and fluid. From the results of the sensitivity analysis is also obtained information that the log density and log Gamma Ray (GR) can be used to separate lithology and log Lamda-Rho (LR), VP / VS, Poison's Ratio (PR), Lamda / Mu (L / M) can be used to separate the fluid. Simultaneous inversion method is used to calculate the density and LR attribute that can be known from this attribute the lithology and fluid distribution in this area. Then the result of the seismic attribute was used in geology static model building process for volume calculation purpose. Simultaneous inversion results shows that there are two major areas, namely the prospect area or segment of the 3A55 well areas or segment AA and 3G51 well areas or segment G. Both of these prospects located in the zone between the MFB-MF1 markers exactly on the A205 zone on static models that have been made. The result of calculation of reserves in this zone is half of the total reserves in this studied area, AAA field is one of the largest gas fields in Indonesia. Reservoir characteristics of the shallow part of this field are sandstone with depositional environment fluvio deltaik with thick channel and the gas filled formation of Kampung Baru. Reservoirs and hydrocarbon mapping in this area, cannot be done with an acoustic impedance inversion method (AI) because of the results of the sensitivity analysis AI cannot separate the existing lithology and fluid. From the results of the sensitivity analysis is also obtained information that the log density and log Gamma Ray (GR) can be used to separate lithology and log Lamda-Rho (LR), VP / VS, Poison's Ratio (PR), Lamda / Mu (L / M) can be used to separate the fluid. Simultaneous inversion method is used to calculate the density and LR attribute that can be known from this attribute the lithology and fluid distribution in this area. Then the result of the seismic attribute was used in geology static model building process for volume calculation purpose. Simultaneous inversion results shows that there are two major areas, namely the prospect area or segment of the 3A55 well areas or segment AA and 3G51 well areas or segment G. Both of these prospects located in the zone between the MFB-MF1 markers exactly on the A205 zone on static models that have been made. The result of calculation of reserves in this zone is half of the total reserves in this studied area]

Abstrak :
Lapangan “D” merupakan lapangan yang berada di Offshore Delta Mahakam, Cekungan Kutai. Lapangan ini memiliki dua sumur yaitu D-1 dan D-2, data seismik 3-D post-stack, serta data seismik partial stack yaitu near dan far. Berdasarkan data sumur, lapangan ini memiliki reservoir yang bersifat heterogen. Daerah interest pada lapangan ini dibatasi oleh horizon D Atas dan D Bawah. Dengan keadaan lapangan yang seperti ini maka metode yang dianggap tepat untuk melakukan evaluasi terhadap lapangan “D” adalah metode inversi geostatistik dimana metode ini akan menghasilkan gambaran yang lebih detail karena menggunakan pendekatan secara geostatistik dan dilakukan simulasi secara menerus dengan kombinasi metode SGS (Sequential Gaussian Simulastion) dan Bayesian. Dengan kata lain, tujuan dilakukannya penelitian ini adalah mengkarakterisasi reservoir pada zona interest dan mendapatkan model bawah permukaannya dengan menggunakan inversi geostatistik serta membandingkan hasilnya dengan inversi deterministik. Dimana metodenya adalah melakukan inversi impedansi akustik dengan metode geostatistik dan deterministik. Setelah didapatkan penampang impedansi akustik dari metode geostatistik, impedansi akustik sumur dikorelasikan dengan porositas dan densitas  dimana dari korelasi ini didapatkan persamaan empirik yang digunakan untuk menyebarkan porositas dan densitas di penampang impedansi akustik hasil dari inversi geostatistik. Dari hasil inversi diketahui persebaran litologi dimana litologi di zona interest antara lain batu pasir dan shale yang bersifat random dengan sisipan limestone. Ketika membandingkan hasil inversi geostatistik dengan inversi deterministik, hasil inversi geostatistik menunjukkan lapisan yang lebih tipis dibandingkan dengan hasil inversi deterministik dan lebih mendekati secara geologi. Selain inversi, dilakukan analisa fluid factor dengan memanfaatkan data seismik partial-stack dan terlihat adanya amplitudo kuat di zona interest yang merupakan indikasi adanya hidrokarbon. ......“D” field is located in the Offshore of Mahakam Delta, Kuta Basin. This field has two wells, namely D-1 and D-2, 3D seismic data post-stack, also partial-stack seismic data, near and far. Based on well data, this field has random reservoir. The area of interest in this field is limited by D Atas and D Bawah horizons. With this condition, the method that is considered appropriate for evaluating the “D” field is geostatistical inversion method. This method can produce more detailed model because it uses geostatistical approach and continuous simulation with combination of SGS (Sequential Gaussian Simulation) and Bayesian method. In other words, the purpose of this study is to characterize the reservoir in the interest zone and obtain the subsurface model using geostatistic inversion and compare the results with deterministic inversion. First, do inversion for acoustic impedance (deterministic and geostatistic) then correlated acoustic impedance of well log data with porosity and density. From this correlation, the empirical equation is used for distribute the porosity and density in the acoustic impedance section as the result of geostatistic inversion. From the inversion results, it is known that the lithology in the interest zone are sandstone and shale that are distributed randomly with interbedded limestone. The model from geostatistic inversion show thinner layers and closer geologically than the model from deterministic result. In addition, fluid factor is carried out by using partial-stack seismic data and shows strong amplitude in the interest zone which indicates the presence of hydrocarbon.

Abstrak :
Metode inversi seismik deterministik merupakan salah satu metode yang digunakan dalam proses karakterisasi reservoar. Metode ini digunakan karena ia dapat menggambarkan kondisi bawah permukaan melalui nilai impedansi akustik yang dihasilkannya. Akan tetapi, nilai impedansi akustik yang dihasilkan oleh inversi seismik deterministik dinilai kurang representatif dalam proses karakterisasi reservoar karena dalam proses inversinya hanya dihasilkan satu realisasi saja. Oleh karena itu, dikembangkan metode inversi stokastik yang menggunakan konsep geostatistik. Di mana ia akan menghasilkan beberapa realisasi nilai impedansi akustik untuk meminimalisir ketidakpastian. Penelitian ini memanfaatkan metode inversi geostatistik untuk proses karakterisasi reservoar pada lapangan “X” di Laut Utara. Pada penelitian ini digunakan data seismik 3D post-stack migration dan dua sumur. Melalui penerapan inversi geostatistik di zona target pada lapangan “X” diketahui bahwa pada zona target, litologinya merupakan batu pasir dan shale yang posisinya berselingan dan tidak terlihat indikasi keberadaan fluida hidrokarbon. ......Deterministic seismic inversion method is one of the methods used in the reservoir characterization process. This method is used because it can describe the subsurface conditions through acoustic impedance value. However, the value of acoustic impedance produced by deterministic seismic inversion is considered less representative in the reservoir characterization process because the inversion only produces one realization of acoustic impedance. Therefore, a stochastic inversion method was developed. The method used a geostatistical concept where it will result in several realizations of acoustic impedance values to minimize uncertainty. This study utilizes the geostatistical inversion method for the reservoir characterization process in the "X" field in the North Sea. In this study, 3D post-stack migration seismic data and two wells were used. Through the application of geostatistical inversion in the target zone on the "X" field, it is known that in the target zone, the lithology is sandstone and shale which are alternately positioned and there is no indication of the presence of hydrocarbon fluids.

Abstrak :
ABSTRACT
To define reservoir potential or to have a better understanding of reservoir characterization become the most important part to get many subsurface information. It will be very useful to analyze and prospect new candidates. Reservoir characterization combined with the formation evaluation data between vertical and horizontal dimensions will produce a geologic model, which is used as an input for reservoir simulation. The objectives of this research is to develop a reservoir model within the producing interval of interest defined as horizons ?E? where it plays as a main oil target. It is a part of the Salemba Field, Kutai Basin, East Kalimantan. A geostatistical method used for the study was stochastic since the data set availability is good. But to have better self confidence, a glance of deterministic method was applied to see how the differences. There are three kind of stochastic method will try for facies modeling, there are: Object-base Modeling, Facies Transition and Sequential Indicator Simulation. Each method was varied using exponential types of variogram, which is considered as the best match use in Mutiara Field. By using the existing software, it resulted more than 10 good scenarios and realizations of geological model generated for this study. Also the criterion of the main ranking will use the OOIP and OGIP. The result also was calibrated with current condition, cumulative production and recovery factor to see the remaining reserves.

Abstrak :
ABSTRAK
Proses pemisahan litologi dan fluida reservoir merupakan bagian penting dalam mengkarakterisasi reservoir. Hal ini akan menjelaskan sifat fisis litologi batuan reservoir serta kandungan fluidanya dengan mengintegrasikan data geofisika dan data petrofisika. Proses ini sulit dilakukan di lapangan ldquo;B rdquo; apabila menggunakan parameter impedansi akustik dan LMR, karena masih memiliki tingkat ambiguitas yang cukup tinggi. Impedansi Poisson PI telah di implementasikan sebagai solusi untuk menjawab masalah tersebut. Pada crossplot antara Impedansi Akustik AI dan Impedansi Shear SI dilakukan rotasi kedua sumbunya dengan mengikuti tren litologi-fluida hingga memenuhi persamaan PI c = AI ndash; cSI. Untuk meningkatkan akurasi perhitungan PI, nilai c faktor optimalisasi rotasi dihitung melalui metode TCCA Target Correlation Coefficient Analysis . Mirip seperti EEI fungsi sudut, kemudian dilakukan korelasi dengan data sumur yang akan diprediksi. Analisis parameter sensitivitas dilakukan pada 2 sumur yang ada di lapangan ldquo;B rdquo;. Dari simultaneous inversion didapat parameter-parameter Zp, Zs dan densitas yang kemudian ditranformasi menjadi PI. Model PI kami menunjukan dengan jelas pemisahan litologi batuan reservoir hidrokarbon. Lithology Impedance LI hasil dari korelasi PI dengan GR mampu memisahkan sand dan shale dengan baik. Begitu pula dengan Fluid Impedance FI sebagai hasil korelasi PI dengan SW juga mampu memisahkan kandungan air di dalam reservoir dengan nilai Sw tinggi relatif terhadap gas dengan nilai Sw yang rendah. Zona Hidrokarbon diperkirakan berada pada kedalaman antara 2360-2400m. Hasil slicing pada volume Poisson Impedance inversion telah memberikan gambaran distribusi dan interpretasi litologi dan kandungan fluida yang jelas pada reservoir di lapangan ldquo;B rdquo;, Sumatera Selatan.

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ABSTRACT
The separation process of lithology and fluid reservoir is an important part in the characterization of reservoir. This would explain the physical properties of reservoir rock lithology and fluid content by integrating the geophysics and petrophysical data. This process is difficult to do in the field B when using parameters of acoustic impedance and LMR, because it still has a fairly high degree of ambiguity. Poisson impedance PI has been implemented as a solution to address the problem. In crossplot between Acoustic Impedance AI and Shear Impedance SI conducted a rotation of both axis according to the trend of lithology fluid to satisfy the equation of PI c AI ndash c SI. To improve the accuracy of PI calculation, the value of c optimization factor of rotation is calculated through the method of TCCA Target Correlation Coefficient Analysis . Much like EEI, then do the correlation with to be predicted wells data. Analysis of sensitivity parameter performed on two wells in the field B . Parameters Zp, Zs and density which obtained from the simultaneous inversion then transformed into PI. Our PI models clearly show the separation of rock lithology of hydrocarbon reservoir. Lithology impedance LI as a result of the PI GR correlation is able to separate sand and shale very well. Similarly, the impedance Fluid FI as a result of PI SW correlation is also able to separate the water content in the reservoir with high Sw value relative to gas with a low value of Sw. Hydrocarbon zone proven at 2360 2400 m. The slicing result of the volumes of Poisson impedance inversion has provided a clearly distribution and interpretation of lithology and fluid content reservoir at the field B of South Sumatera.

Abstrak :
Reservoir batupasir pada Lapangan OA terletak pada Cekungan Northern Bonaparte merupakan batupasir yang tersaturasi gas, diagenesis mineral menyebabkan beberapa daerah zona reservoir menjadi tight sandstone. Metode inversi menggunakan impedansi akustik (AI) kurang sensitif dalam membedakan litologi batupasir dan batu lempung karena memiliki nilai impedansi yang hampir sama. Simultaneous Inversion mengatasi masalah tersebut dengan melakukan inversi secara bersamaan melalui data partial angle (near, mid, far) untuk mendapatkan parameter fisis selain impedansi akustik yang diharapkan lebih sensitif dalam membedakan litologi maupun memprediksi keberadaan fluida gas seperti impedansi shear (SI) dan densitas. Ketiga parameter tersebut dapat diturunkan menjadi parameter Lame(LMR). Analisa crossplot menunjukan parameter fisis yang sensitif untuk memprediksi persebaran litologi maupun keberadaan fluida gas. Parameter densitas cukup sensitif dalam membedakan litologi yang kemudian dilakukan inversi dengan nilai cut off clean sandstone adalah 2.3-2.5 (g/cc), tight sandstone dengan cutoff 2.5-2.625 (g/cc) dan shaledengan cutoff2.625-2.8(g/cc). Keberadaan fluida gas diprediksi dengan melakukan inversi parameter Vp/Vsyang memiliki cutoff ±1.6 dan Lambda-rho dengan cut off ±25. Analisa peta persebaran parameter tersebut menunjukan persebaran batupasir dan keberadaan fluida gas dominan berada di daerah utara zona penelitian dengan karakter batupasir yang relatif memiliki porositas yang lebih baik (clean sandstone) dibandingkan dengan daerah yang relatif lebih selatan.

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The sandstone reservoir in the OA Field is located in the Northern Bonaparte Basin, which is gas-saturated sandstone, mineral diagenesis causing several reservoir zone areas to become tight sand. The inversion method using acoustic impedance (AI) is less sensitive in distinguishing sandstone and clay rock lithology because it has almost the same impedance value. Simultaneous Inversion overcomes this problem by simultaneously inversingpartial angle data (near, mid, far) to obtain physical parameters besides acoustic impedance which are expected to be more sensitive in distinguishing lithology and predicting the presence of gas fluids such as shear impedance (SI) and density. These three parameters can be derived as Lame(LMR) parameters. Crossplot analysis shows sensitive physical parameters to predict the distribution of lithology and the presence of gas fluid. Density sensitive in distinguishing lithology which is then inversed,obtaining clean sandstone cutoff values are 2.3-2.5 (g/cc), tight sandstonewith cutoff 2.5-2.625 (g/cc) and clay stones with cutoff2.625-2.8(g/cc). The presence of gas fluid is predicted by inversing the parameter Vp/Vswhich has a ± 1.6 and Lambda-rho cutoff of ± 25 cutoff. Analysis of the parameter distribution map shows the distribution of sandstones and the presence of dominant gas fluids in the northern area of the research zone with relatively clean sandstone characteristics, compared to relatively more southern regions.

Abstrak :
Dengan keterbatasan data seismik yang tidak mampu menampilkan parameter-parameter fisis layaknya data sumur dan juga ketiadaan data shear-wave yang sangat penting dalam identifikasi fluida dan litologi, maka dibutuhkan metode yang mampu mengakomodir keterbatasan tersebut. Dengan memanfaatkan sumur sekitar yang memiliki informasi shear-wave, maka dapat dilakukan perhitungan stastistik menggunakan genetic algorithm untuk memperoleh algoritma yang mampu memprediksi shear-wave secara akurat dan merepresentasikan informasi fluida maupun litologi bawah permukaan. Bermodalkan shear-wave hasil prediksi yang akurat tersebut, maka dapat pula dilakukan inversi EEI dengan baik yang mampu menghasilkan volume seismik yang memiliki informasi parameter-parameter fisis layaknya data sumur. Inversi EEI dilakukan pada parameter lambda-rho, mu-rho, Vp/Vs ratio, porosity, density, water saturation, resistivity, dan gamma ray. Analisa terhadap inversi EEI dilakukan secara terpusat pada horizon B-32. Berdasarkan inversi EEI yang dilakukan, dapat diperoleh peta persebaran anomali hidrokarbon dan peta persebaran litologi. Peta persebaran anomali hidrokarbon ditunjukkan oleh parameter lambda-rho, Vp/Vs ratio, density, water saturation, dan resistivity. Sedangkan peta persebaran litologi ditunjukkan oleh parameter mu-rho, porosity, dan gamma ray.

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With the limitation of seismic data that cannot showing physical properties as well log data and without shear-wave that very important in identification of fluid and lithology, so it needed method that can solve and accommodate the limitation. By utilizing shear-wave from another well log data, shear-wave can be predicted statistically by genetic algorithm method. Shear-wave predicted are reliable and represent fluid and lithology information that is key to perform EEI inversion. EEI inversion are used to produce seismic volume that contains physical properties as well log data. EEI inversion analysis are concentrated on horizon B-32 and resulting maps that contains information of distribution of hydrocarbon and lithology. Maps of hydrocarbon distribution are consist of physical parameter such as lambda-rho, Vp/Vs ratio, density, water saturation, and resistivity. Maps of lithology distribution are consist of physical parameter such as mu-rho, porosity, and gamma ray.

Abstrak :
Karakterisasi reservoir merupakan salah satu tahap penting dalam eksplorasi hidrokarbon agar dapat menentukan reservoir yang baik berdasarkan karakteristik litologi dan kandungan fluida di reservoir. Penelitian ini dilakukan di Lapangan “R”, Cekungan Jawa Timur Utara dengan menggunakan metode inversi simultan. Berdasarkan hasil inversi simultan diketahui bahwa zona reservoir di area penelitian tersusun atas litologi karbonat dengan nilai impedansi-P 26.000 ft/s*g/cc – 35.000 ft/s*g/cc, impedansi-S 8.000 ft/s*g/cc – 22.000 ft/s*g/cc, dan densitas 2. g/cc – 2.39 g/cc. Hasil tersebut ditransformasikan menjadi parameter elastis batuan, yaitu Parameter Lame yang terdiri atas Lambda-Rho dan Mu-Rho. Transformasi Lambda-Mu-Rho berhasil mengidentifikasi reservoir karbonat yang berpotensi mengandung hidrokarbon dengan nilai rigiditas tinggi sebesar 6 GPa*g/cc – 21 GPa*g/cc dan inkompresibilitas rendah sebesar 6 GPa*g/cc – 11 GPa*g/cc yang diinterpretasikan sebagai gas. Integrasi analisis dari parameter impedansi-P, impedansi-S, densitas, Lambda-Rho, dan Mu-Rho menunjukkan bahwa persebaran batuan karbonat yang tersaturasi gas memiliki orientasi timur laut – barat daya. ......Reservoir characterization is one of the most crucial stages in hydrocarbon exploration to determine good reservoirs based on their lithology and fluid content. This research was conducted at the “R” Field, North East Java Basin using the simultaneous seismic inversion method. The results show that the reservoir zone in the research area consists of carbonate rocks with P-impedance values of 26.000 ft/s*g/cc – 35.000 ft/s*g/cc, S-impedance of 8.000 ft/s*g/cc – 22.000 ft/s*g/cc, and density of 2.25 g/cc – 2.55 g/cc. These results were transformed into rock elastic parameters, namely Lame Parameters consisting of Lambda-Rho and Mu-Rho. Lambda Mu Rho Transformation has successfully identified carbonate reservoirs that potentially contain hydrocarbons with high rigidity values of 6 GPa*g/cc – 21 GPa*g/cc and low incompressibility of 6 GPa*g/cc – 11 GPa*g/cc interpreted as gas. Integration analysis of P-impedance, S-impedance, density, Lambda-Rho, and Mu-Rho parameters shows that the distribution of gas-saturated carbonate rocks has a northeast – southwest orientation.