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"Lapangan A merupakan lapangan offshore yang berada di Laut mid-Norway dan telah memproduksi minyak dan gas bumi cukup lama. Tiga buah sumur digunakan pada penelitian ini dengan kelengkapan data Gamma Ray, NPHI, RHOB, dan log Sonik. Untuk mengidentifikasi reservoir hidrokarbon digunakan metode seismik inversi untuk menghasilkan nilai impedansi akustik dan metode well log berupa gamma ray dan porositas guna menggambarkan penyebaran batu pasir pada reservoir hidrokarbon. Dalam proses inversi dibuat dua buah horison yaitu top dan bottom dengan kontrol tiga buah sumur.

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Field A is an offshore field, located in the mid-Norway Sea and has been producing oil and gas for a while. Three wells were used in this study that have Gamma Ray, NPHI, RHOB, and sonic logs. Seismic inversion method is used to identify the hydrocarbon reservoir then to deliver an acoustic impedance. Well log analysis such as gamma ray, porosity, and density are used to illustrate lithology of hydrocarbon reservoir. Inversion method created two horizons ,the top and bottom, with three wells controls."

"Daerah penelitian terletak di Sunda Basin yang merupakan bagian dari Cekungan Northwest Java yang terletak di offshore. Cekungan ini terbukti produktif, namun aktivitas eksplorasi saat ini di daerah penelitian ini jarang. Penelitian difokuskan pada reservoir hidrokarbon dari formasi karbonat di Lapangan 'X', yang dikenal sebagai Formasi Batu Raja Atas. Lapangan ini memiliki dua sumur untuk diteliti, yaitu Sumur GD1 dan GD2, keduanya merupakan sumur deviasional dan memiliki jarak yang berdekatan satu sama lain. Dalam menentukan reservoir hidrokarbon di daerah ini, analisis petrofisika dan metode inversi seismik telah dilakukan. Keduanya akan digunakan untuk menganalisis reservoir hidrokarbon sebagai hasil utama. Parameter analisis petrofisika terdiri dari permeabilitas, densitas, volume shale, porositas dan saturasi air. Selain itu, inversi seismik menerapkan metode impedansi akustik untuk menunjukkan kenampakan geologi di bawah permukaan, sehingga dapat mengidentifikasi karakterisasi reservoir. Nilai Impedansi Akustik menunjukkan bahwa zona minat di Batu Raja Atas atau diperpendek formasi UBR memiliki rentang interval dari 17.000 hingga 22.000 (ft/s)*(g/cc), sehingga kedua metode tersebut dapat membuktikan formasi ini memiliki karakterisasi yang baik sebagai target utama atau reservoir. Berdsarkan analisis petrofisika, hasil perhitungan parameter volume shale, saturasi air, dan porositas yang telah dianalisis menunjukkan bahwa area zone of interest memiliki reservoir hidrokarbon yang cukup baik. Hal tersebut dapat dilihat dari nilai rata-rata volumei shalei sebesari kurang dari sama dengan 40%, nilaii saturasii airi sebesari kurang dari sama dengan 0.43 v/v, dan nilaii porositasi sebesari 0.117-0.13 v/v.

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The study area is located in Sunda Basin which is part of Northwest Java Basin that lies on offshore. The basin is proven to be prolific, however, the current exploration activity in this study area is sparse. The study is focused on the hydrocarbon reservoir of the carbonate formation, which is known as Upper Batu Raja Formation. This research has two wells to be researched, which are Well GD1 and GD2, both of them are deviational wells and have close distance with each other. To specifically determine the hydrocarbon reservoir in this area, a petrophysical analysis and seismic inversion method have been carried out. Both of them will be used to analyze the hydrocarbon reservoir as the main result. The parameters of petrophysical analysis consist of permeability, density, shale volume, porosity and water saturation. Aside from that, the seismic inversion applies acoustic impedance method to show the geological appearance in the subsurface, therefore it can identify the reservoir characterization. The Acoustic Impedance value shows that the zone of interest in Upper Batu Raja or as shorten as UBR formation has interval range from 17000 to 22000 (ft/s)*(g/cc), hence, these methods promptly prove this formation has good characterization as the main target or reservoir. According to petrophysical analysis, the results of shale volume, water saturation, and porosity which have been analyzed show that zone of interest has a good hydrocarbon reservoir. It has been proved from the average calculation of shale volume more or less 40%, water saturation more or less 0.43 v/v, and porosity in range 0.117-0.13 v/v."

"Penelitian ini merupakan penelitian tentang analisis Direct Hydrocarbon Indicators pada formasi Baturaja, yang berlokasi di Ciwaru, Kuningan, Jawa Barat. Fokus pada penelitian ini terletak pada lapangan “PB” yang dimiliki oleh PT Pertamina Hulu Rokan. Lapangan ini memiliki potensi hidrokarbon yang sangat tinggi, namun lokasi pengeboran yang ada masih terbatas, sehingga diperlukan analisis lebih lanjut terhadap data seismik dan data well log yang ada. Penelitian ini bertujuan untuk mengidentifikasi zona reservoir hidrokarbon menggunakan analisis struktur, dan analisis Direct Hydrocarbon Indicators yang didukung dengan analisis atribut RMS amplitude. Penelitian ini menghasilkan sebuah model petroleum system dari hasil analisis trap, direct hydrocarbon indicators, well log, serta studi literatur geologi regional dengan zona reservoir hidrokarbon bertipe leak dengan ciri khas gas chimney dan kandungan hidrokarbonnya merupakan fluida gas. zona trap hidrokarbon yang teranalisis melalui analisis struktur, bertipe antiklin dengan ketebalan 465 m. zona reservoir hidrokarbon berada pada batuan limestone, dengan hidrokarbon yang berada pada reservoir ini merupakan fluida gas dengan ketebalan 10 m.

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This study is a research on the analysis of Direct Hydrocarbon Indicators in the Baturaja formation, located in Ciwaru, Kuningan, West Java. The primary focus is on the "PB" field owned by PT. Pertamina Hulu Rokan, which holds significant hydrocarbon potential. However, drilling locations are limited, prompting the need for further analysis of seismic and well log data. The research aims to identify hydrocarbon reservoir zones through structural analysis and direct hydrocarbon indicators, supported by RMS amplitude attribute analysis. This research produces a petroleum system model derived from trap analysis, direct hydrocarbon indicators, well logs, and a literature review of regional geological studies. with the hydrocarbon reservoir zone identified as a leak-type reservoir characterized by gas chimney features and its hydrocarbon content being gas fluid. The type of the reservoir zone is anticline with thickness of 465 m. the reservoir stone in this field are limestones. In this reservoir zone the hydrocarbon content is field with gas fluids with thickness of 10 m."

"Salah satu upaya yang dapat dilakukan untuk memenuhi kebutuhan energi, khususnya gas dan minyak bumi adalah dengan giat untuk melakukan eksplorasi hidrokarbon. Cekungan Sengkang merupakan salah satu cekungan yang terletak di Sulawesi Selatan yang memiliki potensi cadangan hidrokarbon yang cukup besar yaitu berupa gas bumi. Menurut Pertamina (1995) terdapat cadangan gas bumi yang terkandung di Cekungan Sengkang dengan total mencapai 750 Billion Standart Cubic Feet (BSCF). Pengkarakterisasian reservoir sangat penting untuk dilakukan dalam eksplorasi hidrokarbon karena dapat mengetahui karakteristik sifat fisika maupun batuan dari suatu reservoir itu sendiri. Salah satu metode yang sangat membantu dalam menganalisis reservoir adalah inversi seismik impedansi akustik (AI). Pada penelitian ini menggunakan 6 buah sumur yaitu S1, S2, S4, S5, S6, dan S7 serta 15 data lintasan seismik 2D Post Stack Time Migration (PSTM) yang kemudian dilakukan inversi impedansi akustik model based. Berdasarkan hasil yang diperoleh dari peta distribusi memperlihatkan persebaran reservoar karbonat berupa batu gamping yang porous pada zona penelitian yang mempunyai nilai impedansi akustik yang rendah yaitu berkisar antara 22.000 - 27.000 ((ft/s)*(g/cc)) dan mempunyai nilai persebaran porositas 26% - 28%.

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One of the ways that can be done to meet energy needs, especially gas and oil, is to actively explore hydrocarbons. The Sengkang Basin is one of the basins located in South Sulawesi which has a large potential for hydrocarbon reserves in the form of natural gas. According to Pertamina (1995) there are natural gas reserves contained in the Sengkang Basin with a total of 750 Billion Standard Cubic Feet (BSCF). Reservoir characterization is very important in hydrocarbon exploration because it can determine the physical and rock characteristics of a reservoir itself. One method that is very helpful in analyzing reservoirs is acoustic impedance seismic inversion (AI). In this study, 6 wells were used, namely S1, S2, S4, S5, S6, and S7 as well as 15 2D Post Stack Time Migration (PSTM) seismic trajectories which were then performed with model-based acoustic impedance inversion. Based on the results obtained from the distribution map, it shows that the distribution of carbonate reservoirs in the form of porous limestone in the study zone has a low impedance value ranging from 22.000 - 27.000 ((ft/s)*(g/cc)) and has a porosity distribution value of 25% - 28%."

"Cekungan Jawa Timur Utara tersebut merupakan cekungan Tersier yang produktif akan hidrokarbon pada setiap interval stratigrafi (Marianto et al., 2017). Penelitian ini dilakukan pada lapangan B dan  terfokus pada formasi Kujung. Formasi Kujung adalah formasi yang litologinya di dominasi oleh karbonat pada reservoirnya dan memiliki batuan penutup berupa shale. Karakterisasi reservoir karbonat merupakan suatu tantangan sebab batuannya memiliki struktur pori yang kompleks akibat proses diagenesis. Sehingga mempengaruhi kecepatan gelombang seismik yang merambat pada karbonat. Data yang  digunakan dalam penelitian ini adalah data Seismik 3D PSTM dengan kontrol 3 sumur berbeda. Metode yang digunakan untuk mengkarakterisasi reservoir karbonat ini adalah dengan menggunakan metode seismik inversi simultan. Metode Seismic Inversi Simultan tersebut akan menghasilkan model Impedansi-P (AI), Impedansi-S (SI) dan densitas yang kemudian akan di transformasikan menjadi Lambda-Rho dan Mu-Rho. Model dari parameter hasil inversi simultan dan hasil transformasi tersebut akan digunakan untuk mengetahui sebaran litologi, porositas dan konten fluida pada pori batuan. Berdasarkan hasil analisis, daerah prospek pada penelitian ini terletak pada build up karbonat serta memiliki porositas yang tinggi dengan nilai AI sebesar 16000-31000 ((ft/s)(g/cc)) dan Mu-rho sebesar 10-27 (GPA g/cc) dan fluida minyak dengan nilai λÏ? 10-36 (GPA g/cc.

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North East Java Basin is a tertiary basin which prolific of hydrocarbon on almost all stratigraphic intervals (Marianto et al., 2017). The study area is located on B field and focused on Kujung formation. Kujung formation is dominated by carbonate on its reservoir and has shale as its caprock or seal. Reservoir characterization considered as a huge challenge because of its complex structural pore caused by diagenesis processes. Therefore, affect the seismic wave propagation which travels through carbonate body. This study use 3D Seismic PSTM with 3 different wells as a control. The method used in this study is Simultaneous Seismic Inversion. The Seismic Simultaneous Inversion will extract P-Impedance (AI), S-Impedance (SI) and density as output models. Those three models will be transformed into Lambda-Rho dan Mu-Rho. The Output models of inversion and transformation will be used for characterizing distribution of the litology, porosity and fluid content that fills rocks pore. Based on analysis result, the prospect area in this study located on carbonate build up, high porosity indicated by AI value between 16000-31000 ((ft/s)(g/cc)) and Mu-rho value between 10-27 (GPA g/cc) and oil by value between 10-36 (GPA g/cc)."

"Cekungan Jawa Timur Utara membentang sepanjang lebih dari 600 km dari barat ke timur, dan memanjang sekitar 250 km dari arah utara ke selatan, serta telah menjadi tempat eksplorasi dan eksploitasi minyak sejak seratus tahun lamanya (Lunt, 2013). Pada batas antara Eosen dan Oligosen, Central Deep mulai mengalami pemekaran (rifting), kemudian terjadi subsidensi secara cepat ke kondisi laut sangat dalam dan menangkap sebagian besar sedimen yang sebelumnya tertransport jauh ke arah timur. Daerah penelitian berada di area struktur Central Deep, tepatnya pada formasi Kujung. Formasi tersebut didominasi oleh litologi claystone dengan banyak sisipan tipis karbonat dan batupasir. Penelitian ini bertujuan untuk mengarakterisasi reservoir yang ada pada formasi Kujung (middle Kujung hingga lower Kujung) menggunakan inversi seismik simultan dan transformasi LMR. Metode tersebut akan menghasilkan model properti batuan berupa Zp, Zs, densitas, rigiditas, dan inkompresibilitas, yang dapat digunakan untuk mengetahui sebaran litologi dan kandungan fluida di dalam batuan. Berdasarkan hasil analisis, dapat disimpulkan bahwa hasil inversi simultan mampu mendelineasi zona reservoir karbonat dan batupasir dengan masing-masing nilai parameter sebagai berikut. Reservoir karbonat memiliki nilai impedansi P sebesar 8823 – 11788 (m/s)*(gr/cc), impedansi S 5338 – 6636 (m/s)*(gr/cc), densitas 2.47 – 2.7 gr/cc, dan rasio VpVs paling rendah yaitu 1.63 – 1.8. Sedangkan reservoir batupasir memiliki nilai impedansi P sebesar 7764 – 8823 (m/s)*(gr/cc), impedansi S 4597 – 5338 (m/s)*(gr/cc), densitas 2.33 – 2.47 gr/cc, dan rasio VpVs sebesar 1.75 – 1.99. Hasil transformasi LMR menunjukkan bahwa reservoir yang mengandung hidrokarbon memiliki nilai parameter sebagai berikut. Zona hidrokarbon pada karbonat memiliki nilai inkompresibilitas 31.9 – 34.2 GPA*gr/cc dan riditas 22.7 – 32.1 GPA*gr/cc. Sedangkan zona hidrokarbon pada batupasir memiliki nilai inkompresibilitas 27.9 – 31.9 GPA*gr/cc dan rigiditas 17.4 – 22.7 GPA*gr/cc.

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The North East Java Basin extends more than 600 km from west to east, and about 250 km from north to south, has been a place of oil exploration and exploitation for hundred years (Lunt, 2013). At the boundary between the Eocene and the Oligocene, the Central Deep begins to rifted, then subsided rapidly to very deep sea conditions and captures most of the sediment that was previously transported far to the east. The research area is in the Central Deep structure, precisely in the Kujung formation. The formation is dominated by lithology of claystones with many thin interbeds of carbonates and sandstones. This study aims to characterize the reservoir in the Kujung formation (middle Kujung to lower Kujung) using simultaneous seismic inversion and LMR transformation. This method will produce a rock property model in the form of Zp, Zs, density, rigidity, and incompressibility, which can be used to determine the lithological distribution and fluid content of the rocks. Based on the results of the analysis, it can be concluded that the simultaneous inversion result can delineate the carbonate and sandstone reservoir zones with each of the following parameter values. The carbonate reservoir has a P-impedance value of 8823 - 11788 (m/s)*(gr/cc), S-impedance value of 5338 - 6636 (m/s)*(gr/cc), density of 2.47 - 2.7 gr/cc, and the lowest value of Vp/Vs is 1.63 - 1.8. While the sandstone reservoir has a P-impedance value of 7764 - 8823 (m/s)*(gr/cc), S-impedance value of 4597 - 5338 (m/s)*(gr/cc), density of 2.33 - 2.47 gr/cc, and the Vp/Vs of 1.75 - 1.99. The results of the LMR transformation show that the reservoir containing hydrocarbons has the following parameter values. The hydrocarbon zone in the carbonate has an incompressibility value of 31.9 - 34.2 GPA*(gr/cc) and rigidity of 22.7 - 32.1 GPA*(gr/cc). Meanwhile, the hydrocarbon zone in the sandstones has an incompressibility value of 27.9 - 31.9 GPA*(gr/cc) and rigidity of 17.4 - 22.7 GPA*(gr/cc)."

"Karbonat Oligosen-Miosen di Cekungan Jawa Timur, atau Formasi Kujung 1, telah memberi kontribusi terhadap penemuan cadangan hidrokarbon sejak tahun 1990-an. Beberapa studi dilakukan untuk karakterisasi reservoar didominasi oleh penggunaan data pre-stack untuk membedakan antar fluida. Dengan adanya ketersediaan data seismik post-stack pada Lapangan “PATRA”, dilakukan integrasi antara analisis petrofisika dan analisis multi-atribut untuk melengkapi hasil inversi seismik post-stack. Studi ini menghasilkan volume petrofisika semu (kandungan serpih, porositas dan saturasi) menggunakan 5 kombinasi atribut seismik yang ditentukan melalui analisis multi-atribut. Atribut ini termasuk atribut eksternal (impedansi akustik hasil inversi berbasis model) dan atribut internal (amplitudo sesaat, frekuensi sesaat, fase sesaat, polaritas semu, frekuensi rata-rata dan frekuensi dominan). Jika atribut impedansi akustik digunakan untuk menghasilkan parameter petrofisika, maka error berkisar pada 32-57%. Penggunaaan multi atribut, dan juga PNN, mengurangi error ini menjadi 32-40% hingga 19-35%. Interpretasi seismik terintegrasi ini memungkinkan untuk delineasi zona interest yang berpotensi. PROMETHEUS dengan ketebalan ~213 ft dan luas 58.268.238 ft2 memiliki rata-rata kandungan serpih, porositas dan saturasi air sebesar 0,12-0,25, 0,3 dan 0,7. Prospek ini memiliki estimasi Hydrocarbon Initially in Place sebesar ~930.835.102 scf.

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The Oligocene-Miocene carbonates of the East Java Basin, or the Kujung 1 Fm., have contributed significant hydrocarbon discoveries since the 1990s. Multiple studies conducted for reservoir characterization dominantly use pre-stack information to differentiate fluids. With the availability of post-stack seismic data Field “PATRA”, the integration of petrophysical analysis and multi-attribute analysis is done to enhance the results of post-stack inversion. This study created pseudo-petrophysical volumes (shale content, porosity and water saturation) using 5 combinations of seismic attributes through multi-attribute analysis. These attributes include external attributes (inverted P-Impedance from model-based inversion) and internal attributes (instantaneous amplitude, instantaneous frequency, instantaneous phase, apparent polarity, average frequency and dominant frequency). If a single attribute of P-impedance is used to derive the petrophysical parameter, the error ranges 32-57%. The use of multi attributes, and then PNN, reduced this error to 32-40% to 19-35%. The integration of seismic interpretation made it possible to delineate a potential zone of interest. PROMETHEUS with a thickness of ~213 ft and an area of 58,268,238 ft2 has average shale content, porosity and water saturation value of 0.12-0.25, 0.3 and 0.7. This zone of interest has an estimated Hydrocarbon Initially in Place of ~930,835,102 scf."

"Lapangan ‘B’ merupakan lapangan prospek hidrokarbon yang berlokasi di offshorecekungan Kutai, Kalimantan Timur. Untuk mengetahui karakterisasi reservoir lapangan‘B’, dilakukan pemodelan porositas dan saturasi air menggunakan inversi AI, multiatributseismik dan probabilistic neural network. Penelitian ini menggunakan data seismik 3DPSTM dan data sumur (AND-1, AND-2, AND-3 dan AND-4). Pada data seismik dan datasumur dilakukan inversi AI untuk mengetahui sifat litologi area penelitian. Kemudian,hasil AI ditransformasikan untuk mendapatkan model porositas. Metode multiatributseismik menggunakan beberapa atribut untuk memprediksi model porositas dan saturasiair. Setelah itu, diaplikasikan sifat non-linear dari probabilistic neural network sehinggamenghasilkan model porositas dan saturasi air hasil probabilistic neural network (PNN).Model porositas dan saturasi air transformasi AI, multiatribut seismik dan PNN divalidasidengan nilai porositas dan saturasi air data sumur untuk mengetahui apakah modelporositas dan saturasi air tersebut merepresentatifkan nilai data sumur. Validasi dilakukanpada sumur AND-1 dan AND-2. Nilai porositas dan saturasi air data sumur untuk AND-1 adalah 25.3 – 35.9% dan 45 – 60%, dan nilai porositas dan saturasi air AND-2 adalah11 – 35% dan 15 – 82%. Nilai porositas AND-1 hasil transformasi AI sekitar 16 – 67%,multiatribut seismik sekitar 11.5 – 27% dan PNN sekitar 11.5 – 27%. Nilai saturasi airAND-1 hasil multiatribut seismik sekitar 4 – 63% dan PNN sekitar 18 – 63%. Nilaiporositas AND-2 hasil transformasi AI sekitar 52 – 72%, multiatribut seismik sekitar 11– 21.5% dan PNN sekitar 11 – 21.5%. Nilai saturasi air AND-2 hasil multiatribut seismiksekitar 63 – 85% dan PNN sekitar 63 – 85%. Kemudian, metode multiatribut seismik danPNN didapatkan nilai korelasi antara parameter target dengan parameter prediksi. Modelporositas multiatribut seismik memiliki korelasi 0.840836 dan PNN memiliki korelasi0.936868. Model saturasi air multiatribut seismik memiliki korelasi 0.915254 dan PNNmemiliki korelasi 0.994566. Model porositas transformasi AI memiliki rentang yanglebih tinggi dibandingkan dengan data sumur. Model porositas dan saturasi air metodePNN memiliki rentang nilai yang cukup dekat dengan data sumur dan memiliki korelasiyang lebih tinggi dibandingkan dengan metode multiatribut seismik. Oleh sebab itu,model porositas dan saturasi air metode PNN merupakan model prediksi terbaik.Berdasarkan model PNN, reservoir zona target lapangan ‘B’ memiliki nilai impedansiakustik 25384 – 26133 ((ft/s)*(g/cc)), porositas sekitar 15 – 27% dan nilai saturasi airsekitar 11 – 63%.

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The 'B' field is a hydrocarbon prospect field located in the offshore Kutai Basin, East

Kalimantan. To determine the characterization of the ‘B’ field reservoir, porosity and

water saturation modeling was carried out using AI inversion, seismic multiattribute and

probabilistic neural network. This study uses 3D PSTM seismic data and wells data

(AND-1, AND-2, AND-3 and AND-4). In seismic data and wells data, AI inversion was

carried out to determine the lithological characteristics of the research area. Then, the AI

results were transformed to obtain a porosity model. The seismic multiattribute method

uses several attributes to predict the porosity and water saturation model. After that, the

non-linear properties of the probabilistic neural network were applied to produce the

porosity and water saturation model of the probabilistic neural network (PNN). The

porosity and water saturation model of AI transformation, seismic multiattribute and PNN

were validated with the porosity and water saturation values of the wells data to determine

whether the porosity and water saturation models represent the wells data values.

Validation was carried out on AND-1 and AND-2 wells. The porosity and water

saturation value of the well data for AND-1 around 25.3 - 35.9% and 45 - 60%, and the

porosity and water saturation value of AND-2 around 11 - 35% and 15 - 82%. The

porosity value of AND-1 as a result of AI transformation is around 16 - 67%, the seismic

multiattribute about 11.5 - 27% and the PNN about 11.5 - 27%. The water saturation value

of AND-1 resulted from seismic multiattribute around 4 - 63% and PNN around 18 - 63%.

The porosity value of AND-2 transformed by AI around 52 - 72%, the seismic

multiattribute around 11 - 21.5% and the PNN around 11 - 21.5%. The water saturation

value of AND-2 result from the seismic multiattribute around 63 - 85% and PNN around

63 - 85%. Then, the multiattribute seismic and PNN methods obtained the correlation

value between the target parameter and the predicted parameter. The seismic

multiattribute porosity model has a correlation of 0.840836 and PNN has a correlation of

0.936868. The multiattribute seismic water saturation model has a correlation of 0.915254

and PNN has a correlation of 0.994566. The AI transformation porosity model has a

higher range than the wells data. The PNN method of porosity and water saturation model

has a fairly close range of values to wells data and has a higher correlation than the

multiattribute seismic method. Therefore, the porosity and water saturation model of the

PNN method is the best prediction model. Based on the PNN model, the field target zone

reservoir 'B' has an acoustic impedance value about 25384 – 26133 ((ft/s) * (g/cc)), a

porosity of 15 - 27% and a water saturation of 11 - 63%."

"[ABSTRAKLapangan Athar mulai berproduksi sejak tahun 1975 dengan produksi kumulatif mencapai 900 MMbbls dan RF 50%. Pada tahun 2011 dilakukan akuisisi seismik 3D untuk melihat remaining potential yang ada di lapangan ini. Analisa seismik 3D dengan atribut seismik dan inversi simultan memberikan hasil yang cukup baik untuk menentukan penyebaran batupasir dan hidrokarbon yang ada di dalam nya. Volume densitas hasil inversi, atribut minimum amplitude, dan atribut arc length membantu dalam mengidentifikasi penyebaran reservoar. Lambda-Rho dan AI membantu dalam mengidentifikasi area-area yang mengandung hidrokarbon. Interpretasi struktur di seismik menunjukkan adanya sesar minor, yang sebelumnya tidak teridentifikasi pada seismik 2D. Hasil analisa seismik digunakan dalam pembuatan 3D geomodel. Penentuan batas channel, dan area hidrokarbon di dipandu hasil dari analisa seismik dan data sumur. Empat tubuh channel teridentifikasi dari analisis tersebut, sementara overbank deposit disebarkan secara statistik. Data interpreasi struktur digunakan untuk menentukan jumlah segmen atau kompartemen, dan hasilnya adalah lima segmen selatan dan satu segmen utara terdapat di zona dangkal Lapangan Athar. Hasil pemodelan geologi menunjukkan bahwa segmen 5 menjadi area yang masih memiliki prosepek untuk produksi minyak, sementara segmen 2 memiliki prospek untuk produksi gas.

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ABSTRACTAthar Field start producing since 1975 up to now with cummulative production reached 900 MMbbls and RF 50%. 3D seismic was acquired in 2011 to identify the remaining potential in this field. Analysis of 3D seismic with attribute and simultaneous inversion provide a good result to determine reservoar distribution and hydrocarbon contained. Density cube from inversion, minimum amplutide attribute, anda arc length attribute are used to map the sand distribution. Lambda Rho and AI (Ip) are usefull to identify the remaining hyrocarbon area. Structural interpretation from seismic shows there are minor faults which is not identified before with 2D seismic. The result of the analysis was used to create 3D Geomodel. The channel limit determination, and remaining hydrocarbon area guided by analysis from seismic and well data. As a result, four channel bodies were identified, whilst overbank deposit distributed statistically. Structural interpretation data used to determine the number of segment or compartment, and the result are five segments in the south and one segment in the north identified in the shallow zone Athar Field. The result of geological modeling shows that segment 5 still has prospect in oil production, whilst segment 2 has prospect in gas production.;Athar Field start producing since 1975 up to now with cummulativeproduction reached 900 MMbbls and RF 50%. 3D seismic was acquired in 2011 toidentify the remaining potential in this field.Analysis of 3D seismic with attribute and simultaneous inversion provide agood result to determine reservoar distribution and hydrocarbon contained. Densitycube from inversion, minimum amplutide attribute, anda arc length attribute are usedto map the sand distribution. Lambda Rho and AI (Ip) are usefull to identify theremaining hyrocarbon area. Structural interpretation from seismic shows there areminor faults which is not identified before with 2D seismic.The result of the analysis was used to create 3D Geomodel. The channel limitdetermination, and remaining hydrocarbon area guided by analysis from seismic andwell data. As a result, four channel bodies were identified, whilst overbank depositdistributed statistically. Structural interpretation data used to determine the number ofsegment or compartment, and the result are five segments in the south and onesegment in the north identified in the shallow zone Athar Field.The result of geological modeling shows that segment 5 still has prospect inoil production, whilst segment 2 has prospec in gas production, Athar Field start producing since 1975 up to now with cummulativeproduction reached 900 MMbbls and RF 50%. 3D seismic was acquired in 2011 toidentify the remaining potential in this field.Analysis of 3D seismic with attribute and simultaneous inversion provide agood result to determine reservoar distribution and hydrocarbon contained. Densitycube from inversion, minimum amplutide attribute, anda arc length attribute are usedto map the sand distribution. Lambda Rho and AI (Ip) are usefull to identify theremaining hyrocarbon area. Structural interpretation from seismic shows there areminor faults which is not identified before with 2D seismic.The result of the analysis was used to create 3D Geomodel. The channel limitdetermination, and remaining hydrocarbon area guided by analysis from seismic andwell data. As a result, four channel bodies were identified, whilst overbank depositdistributed statistically. Structural interpretation data used to determine the number ofsegment or compartment, and the result are five segments in the south and onesegment in the north identified in the shallow zone Athar Field.The result of geological modeling shows that segment 5 still has prospect inoil production, whilst segment 2 has prospec in gas production]"

"Lapangan “X” merupakan salah satu lapangan yang terletak di Cekungan Sunda. Lapangan ini merupakan salah satu zona potensi hidrokarbon di Indonesia, dengan salah satu zona potensi hidrokarbon terletak pada batuan reservoir karbonat build-up yang berada di Formasi Upper Baturaja. Studi ini akan menghasilkan volume petrofisika semu untuk properti petrofisika volume shale, porositas, dan saturasi air menggunakan lima kombinasi atribut seismik yang ditentukan melalui analisis multi-atribut, yang kemudian nilai korelasi dan errornya akan ditingkatkan probabilistic neural network (PNN). Integrasi dari ketiga metode ini bertujuan untuk memberikan gambaran dan pemahaman baru terhadap karakterisasi daerah yang berpotensi hidrokarbon di Lapangan ”X”.

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”X” Field is one of the fields located in Sunda Basin. “X” Field is one of the hydrocarbon potential zones in Indonesia, with one of its hydrocarbons potential zones located in the carbonate build up reservoir in the Upper Baturaja Formation. This study will produce pseudo petrophysical volumes for petrophysical properties such as shale volume, porosity, and water saturation using five seismic attributes combination from the seismic multi-attributes method. Probabilistic neural network (PNN) is used to improve the correlation and error value from the log. The integration of these three methods aims to provide new insights and understanding of the characterization of hydrocarbon potential areas in “X” Field."