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"Azotobacter chroococcum has a great potential as biosurfactant producing bacteria and was used as co-inoculant to promote the rate hydrocarbon biodegration...."

"Dalam tahapan awal eksplorasi hydorkarbon, diperlukan suatu metode awal yang dapat mendeteksi adanya perangkap hydrokarbon dimana perangkap ini disebabkan oleh adanya struktur patahan. Metode Magnetik adalah salah satu metode Geofisika yang dapat digunakan untuk mengetahui struktur permukaan bawah tanah, sehingga metode magnetik ini digunakan untuk menduga lokasi struktur patahan yang berlaku sebagai perangkap hydrokarbon. Dari hasil data pengukuran, kita mengaplikasikan KOREKSI DIURNAL dan KOREKSI IGRF, kemudian dilakukan UP WARD CONTINUATION untuk menghilangkan efek?efek lokal, dan ketika pemodelan digunakan metode FORWARD MODELLING untuk memperoleh gambaran awal mengenai struktur perlapisan bawah tanah. Daerah penelitian didominasi oleh lapisan sedimen dan juga banyak fosil?fosil yang tersingkap ke permukaan, hal ini dapat menjadi indikasi awal keberadaan hydokarbon pada daerah tersebut. Lokasi penelitian didominasi oleh nilai anomali negatif yang dikarenakan tebalnya lapisan sedimen yang memiliki nilai suseptibilitas rendah dan kenaikan anomali cenderung dikarenakan oleh adanya kenaikan lapisan dan juga kehadiran lapisan yang lebih magnetik. Dari hasil pemodelan diketahui terdapat 2 patahan yang diperkirakan menjadi perangkap hydrokarbon dimana pada daerah tersebut ditunjukkan adanya perubahan nilai anomali magnetik yang drastis.

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In the first step on hydrocarbon exploration, we need some preface method that can detect the hydrocarbon trap where it was because fault structure. Magnetic method was one of geophysics methods that can use to know the structure under the surface. After the aqusition data, we apply the DIURNAL CORRECTION and IGRF CORRECTION, after that we apply UP WARD CONTINATION to separate from local effect, and at modelling we use the FORWARD MODELLING to estimate the structure under surface. The exploration territory was dominated by sediment rock and many fossil show up into the surface, and this is can be first indication that in that place there are hydrocarbon. Location of exploration was dominated by negative anomaly and this is because the thick of sediment rock and the rise of anomaly because there was some layer go up into the surface and also because there are more magnetic layer. From the modelling result we know they are 2 fault that can be indicated the hydrocarbon trap where in that place occur drasctic anomaly changing."

"[Lapangan “X” merupakan lapangan gas terbesar di delta mahakam dengan luas area permukaan yang mancapai 1350km2 dan total akumulasi gas terproduksi mencapai 8 tcf sejak tahun 1990 hingga saat ini. Penurunan produksi yang cukup tajam melatarbelakangipengembangan gas di zona dangkal (shallow gas). Sedimen pada zona dangkal ini tersusun oleh endapan deltaik berumur Miosen Atas – Pliosen dengan batupasir sebagai batuan reservoar utama. Keberadaan fluida gas pada batupasir akan berdampak pada penurunan kecepatan gelombangP dan densitas batuan sehingga memberikan kontras impendansi akustik yang kuat terhadaplapisan shale. Kontras impedansi akustik ini terlihat sebagai anomali amplitudo (brightspot)pada seismik. Adanya kenaikan nilai amplitudo seiring dengan bertambah besarnya sudutdatang menjadi hal yang menarik dalam interpretasi shallow gas ini.Tujuan dari penelitian ini adalah untuk mendeteksi keberadaan shallow gas di lapangan “X”menggunakan atribut AVO Sismofacies dengan 2 sumur yang dijadikan referensi untukpemodelan synthetic AVO. Penulis menggunakan 2 sumur lainnya sebagai kalibrasi terhadapanomali AVO dari Sismofacies cube yang dihasilkan.Metode AVO sismofacies ini tidak menggunakan parameter intercept (A) dan gradient (B)untuk kalkulasi AVO melainkan menggunakan dua data substack yaitu Near dan Far stack.Crossplot antara Near dan Far pada zona water bearing sand dan shale diambil untukmendapatkan background trend sehingga anomali yang berada diluar trend tersebut dapatdiinterpretasikan sebagai gas sand.Hasil dari analisis AVO Sismofacies ini cukup baik dan menunjukkan kesesuaian denganinterpretasi gas di beberapa sumur dan efek Coal berkurang jika dibandingkan Far stack.Meskipun demikian interpretasi AVO ini sebaiknya diintergrasikan dengan analisis dariatribut seismik lainnya untuk memperkuat interpretasi;Field “X” is a giant gas field in mahakam delta which cover 1350km2 of the area with totalcummulative gas production has reached 8 tcf since 1990 to recently. A significantdecreasing of gas production has led to produce gas accumulation in shallow zone as aneffort to fight againts this decline. Shallow zone is a deltaic sediments which depositedduring Upper Miocen to Pliocene with dominant reservoir is sandstone.The presence of gas in sandstone has an impact on decreasing of velocity P as well as densitywhich giving a contrast of acoustic impedance to the overlaying shale. Contrast ofimpedance can be observes in seismic as an amplitude anomaly or so called a brightspot. Anincrease of amplitude along the offset become more interesting in shallow gas interpretation.The aim of this study is to detect shallow gas accumulation di field “X” by using AVOSismofacies attribute with 2 wells as references to model respons of AVO. The result ofAVO sismofacies will be a cube and the interpreation will be calibrated with 2 existing wellscontaining proven gas bearing sands.AVO Sismofacies method will introduce Near and Far substack to be used in the calculationinstead of using common AVO paramter intecepth (A) and gradient (B). A crossplot betweensubstacks will create a background trend from water bearing zone and shale hence anyoutliers can, then,be interpreted as gas anomaly.AVO Sismofacies result is encouraging and some of AVO anomaly has been well calibratedwith existing wells. Coal effect which led to misintepretaion in shallow gas sand isdiminished compared to Far stack. Despite of this result, this anomaly interpretation need tobe intergrated with anothers seismic attribute to gain the level of confidence for shallow gasinterpretation., Field “X” is a giant gas field in mahakam delta which cover 1350km2 of the area with totalcummulative gas production has reached 8 tcf since 1990 to recently. A significantdecreasing of gas production has led to produce gas accumulation in shallow zone as aneffort to fight againts this decline. Shallow zone is a deltaic sediments which depositedduring Upper Miocen to Pliocene with dominant reservoir is sandstone.The presence of gas in sandstone has an impact on decreasing of velocity P as well as densitywhich giving a contrast of acoustic impedance to the overlaying shale. Contrast ofimpedance can be observes in seismic as an amplitude anomaly or so called a brightspot. Anincrease of amplitude along the offset become more interesting in shallow gas interpretation.The aim of this study is to detect shallow gas accumulation di field “X” by using AVOSismofacies attribute with 2 wells as references to model respons of AVO. The result ofAVO sismofacies will be a cube and the interpreation will be calibrated with 2 existing wellscontaining proven gas bearing sands.AVO Sismofacies method will introduce Near and Far substack to be used in the calculationinstead of using common AVO paramter intecepth (A) and gradient (B). A crossplot betweensubstacks will create a background trend from water bearing zone and shale hence anyoutliers can, then,be interpreted as gas anomaly.AVO Sismofacies result is encouraging and some of AVO anomaly has been well calibratedwith existing wells. Coal effect which led to misintepretaion in shallow gas sand isdiminished compared to Far stack. Despite of this result, this anomaly interpretation need tobe intergrated with anothers seismic attribute to gain the level of confidence for shallow gasinterpretation.]"

"[Lapangan X merupakan lapangan mature yang berada di Cekungan Sumatera Tengah. Lapangan ini memiliki struktur antiklin produk dari reverse oblique-slip fault yang membentuk zona patahan di sisi Barat Lapangan X. Zona ini terbukti menghasilkan hidrokarbon ditunjukan oleh sumur produksi X-027, X-153 dan X 154. Sehingga zona patahan ini memiliki potensi untuk di eksplorasi lebih lanjut. Namun, kondisi seismik di zona ini chaotic sehingga sulit untuk menginterpretasikan zona patahan. Penelitian ini akan menggunakan metode geoelectric IVEL dan continuous wavelet transform (CWT) untuk mendapatkan informasi keberadaan hidrokarbon dizona patahan Lapangan X. Geoelectric IVEL (Inversion Vertical Electrical Logging) menggunakan metode vertical sounding schlumberger yang diolah untuk menghasilkan penampang resistivitas medium. Hasil penampang resistivitas medium pada penelitian ini menunjukkan adanya kemiripan nilai resitivitas dengan nilai log resistivitas sumur untuk zona reservoar 350sd dan 550sd (10-20 ohmm). Nilai resistivitas ini terlihat juga di zona patahan yang dijadikan indikator hidrokarbon. Hasil dalam domain kedalaman membantu dalam interpretasi kedalaman reservoar di zona patahan. Analisis continuous wavelet transform (CWT) pada penelitian ini menunjukan amplitudo tinggi pada frekuensi rendah 5-20 Hz dan merupakan indikasi adanya hidrokarbon. Amplitudo tinggi pada frekuensi rendah telihat juga di zona patahan, pada posisi dimana IVEL menunjukan nilai resistivitas sebagai indikator.

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Hidrocarbon X field is a mature field in Central Sumatera Basin. It has anticline structure as a result of reverse oblique-slip fault that produces fault zone in the North side of X Field. It is proved hydrocarbon with the production well X-027, X-153 and X-154. However, it is very difficult to interpret the fault zone with the available seismic data because of the chaotic seismic condition in fault zone. This study uses Ivel Geoelectric method and Continuous Wavelet Transform (CWT) to get hydrocarbon indicator in fault zone. Geoelectric IVEL (Inversion Vertical Electrical Logging) using vertical sounding schlumberger is processed to get medium resistivity section. Medium resistivity section from geoelectrical IVEL at reservoir zone showes similar resistivity value with resistivity log (10-20ohm) for reservoar 350sd and 550sd. This value is showed in fault zone as hydrocarbon indicator. Medium resistivity geoelectrical IVEL is depth domain. It is helpful for interpretation of reservoir depth at fault zone, that is not able to be done by seismic. Continuous wavelet transform (CWT) showes high amplitude at low frequency (5-20Hz) as hydrocarbon indicator. High amplitude at low frequency is showed in fault zone where IVEL showes the hydrocarbon indicator;X field is a mature field in Central Sumatera Basin. It has anticline structure as a

result of reverse oblique-slip fault that produces fault zone in the North side of X Field. It is proved hydrocarbon with the production well X-027, X-153 and X-154. However, it is very difficult to interpret the fault zone with the available seismic data because of the chaotic seismic condition in fault zone. This study uses Ivel Geoelectric method and Continuous Wavelet Transform (CWT) to get hydrocarbon indicator in fault zone. Geoelectric IVEL (Inversion Vertical Electrical Logging) using vertical sounding schlumberger is processed to get medium resistivity section. Medium resistivity section from geoelectrical IVEL at reservoir zone showes similar resistivity value with resistivity log (10-20ohm) for reservoar 350sd and 550sd. This value is showed in fault zone as hydrocarbon indicator. Medium resistivity geoelectrical IVEL is depth domain. It is helpful for interpretation of reservoir depth at fault zone, that is not able to be done by seismic. Continuous wavelet transform (CWT) showes high amplitude at low frequency (5-20Hz) as hydrocarbon indicator. High amplitude at low frequency is showed in fault zone where IVEL showes the hydrocarbon indicator;X field is a mature field in Central Sumatera Basin. It has anticline structure as a result of reverse oblique-slip fault that produces fault zone in the North side of X Field. It is proved hydrocarbon with the production well X-027, X-153 and X-154. However, it is very difficult to interpret the fault zone with the available seismic data because of the chaotic seismic condition in fault zone. This study uses Ivel Geoelectric method and Continuous Wavelet Transform (CWT) to get hydrocarbon indicator in fault zone. Geoelectric IVEL (Inversion Vertical Electrical Logging) using vertical sounding schlumberger is processed to get medium resistivity section. Medium resistivity section from geoelectrical IVEL at reservoir zone showes similar resistivity value with resistivity log (10-20ohm) for reservoar 350sd and 550sd. This value is showed in fault zone as hydrocarbon indicator. Medium resistivity geoelectrical IVEL is depth domain. It is helpful for interpretation of reservoir depth at fault zone, that is not able to be done by seismic. Continuous wavelet transform (CWT) showes high amplitude at low frequency (5-20Hz) as hydrocarbon indicator. High amplitude at low frequency is showed in fault zone where IVEL showes the hydrocarbon indicator.;X field is a mature field in Central Sumatera Basin. It has anticline structure as a

result of reverse oblique-slip fault that produces fault zone in the North side of X Field. It is proved hydrocarbon with the production well X-027, X-153 and X-154. However, it is very difficult to interpret the fault zone with the available seismic because of the chaotic seismic condition in fault zone. This study uses IVEL Geoelectric method and Continuous Wavelet Transform (CWT) to get hydrocarbon indicator in fault zone. Geoelectric IVEL (Inversion Vertical Electrical Logging) using vertical sounding schlumberger is processed to get medium resistivity section. Medium resistivity section from geoelectrical IVEL at reservoir zone showes similar resistivity value with resistivity log (10-20ohm) for reservoar 350sd and 550sd. This value is showed in fault zone as hydrocarbon indicator. Medium resistivity geoelectrical IVEL is depth domain. It is helpful for interpretation of reservoir depth at fault zone, that is not able to be done by seismic. Continuous wavelet transform (CWT) showes high amplitude at low frequency (5-20Hz) as hydrocarbon indicator. High amplitude at low frequency is showed in fault zone where IVEL showes the hydrocarbon indicator, X field is a mature field in Central Sumatera Basin. It has anticline structure as a

result of reverse oblique-slip fault that produces fault zone in the North side of X

Field. It is proved hydrocarbon with the production well X-027, X-153 and X-154.

However, it is very difficult to interpret the fault zone with the available seismic data

because of the chaotic seismic condition in fault zone. This study uses Ivel

Geoelectric method and Continuous Wavelet Transform (CWT) to get hydrocarbon

indicator in fault zone.

Geoelectric IVEL (Inversion Vertical Electrical Logging) using vertical sounding

schlumberger is processed to get medium resistivity section. Medium resistivity

section from geoelectrical IVEL at reservoir zone showes similar resistivity value

with resistivity log (10-20ohm) for reservoar 350sd and 550sd. This value is showed

in fault zone as hydrocarbon indicator. Medium resistivity geoelectrical IVEL is

depth domain. It is helpful for interpretation of reservoir depth at fault zone, that is

not able to be done by seismic. Continuous wavelet transform (CWT) showes high

amplitude at low frequency (5-20Hz) as hydrocarbon indicator. High amplitude at

low frequency is showed in fault zone where IVEL showes the hydrocarbon indicator]"

"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."

"ABSTRAKProses 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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ABSTRACTThe 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."

"Proses prediksi litologi sekaligus kandungan fluidanya merupakan bagian terpenting dalam karakterisasi reservoar. Salah satu metode yang digunakan dalam proses ini adalah metode inversi seismik simultan. Pada Lapangan Poseidon, Cekungan Browse, Australia, parameter-parameter yang dihasilkan melalui inversi seismik simultan kurang dapat mengkarakterisasi reservoar dengan baik karena saling tumpang tindihnya nilai impedansi antara hydrocarbon sand, water sand, dan shale yang menyebabkan tingkat ambiguitas yang tinggi dalam interpretasi. Inversi Poisson Impedance memberikan solusi terhadap permasalahan tersebut dengan cara merotasi impedansi beberapa derajat yang didapatkan melalui koefisien c. Hasilnya menunjukkan bahwa PI memberikan hasil yang lebih baik dalam memisahkan zona reservoar tersaturasi hidrokarbon. Berdasarkan hasil crossplot LI-GR, crossplot ¼- effecitive porosity, dan crossplot FI-Sw dengan nilai c masing-masing 2.04, 2.28, dan 1.05 didapatkan nilai korelasi optimum masing-masing 0.74, 0.91, dan 0.82 menunjukkan bahwa litologi porous sand tersaturasi hidrokarbon berada berada pada nilai LI ≤2800(m/s)(g*cc), 𝜙𝐼 ≤-5500(m/s)(g*cc), dan FI ≤3750(m/s)(g*cc). Keberadaan nilai LI, ϕI, dan FI yang rendah ini berkorelasi baik dengan keberadaan hidrokarbon pada sumur. Masing-masing nilai c tersebut kemudian diaplikasikan pada data seismik. Hasilnya menunjukkan bahwa distribusi persebaran porous sand tersaturasi Hidrokarbon pada penampang inversi seismik terlihat pada arah timur laut-barat daya yang diperkirakan sebagai arah persebaran gas.

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The prediction process of lithology and fluid are the most important parts of reservoir characterization. One of the methods used in this process is the simultaneous seismic inversion method. In the Poseidon field, Browse Basin, Australia, the parameters generated through simultaneous seismic inversion are not able to characterize the reservoir accurately because of the overlapping impedance values between hydrocarbon sand and shale which causes a high level of ambiguity in the interpretation. The Poisson Impedance inversion provides a solution to this problem by rotating the impedance through the coefficient c. Based on the results of the LI-GR crossplot, the 𝜙I-effective porosity crossplot, and the FI-SW crossplot with c values of 2.04, 2.28, and 1.05 respectively, obtained the optimum correlations of 0.74, 0.91,and 0.82 respectively, indicating that hidrocarbon-saturated porous sand is at the value of LI ≤ 2800 (m/s)(g *cc), 𝜙I ≤ 5500 (m/s)(g*cc), and FI ≤ 4000 (m/s)(g*cc). The presence of low values of LI, 𝜙I, and FI correlates accurately with the presence of hydrocarbons in the well. The results show that the distribution of hydrocarbon saturated porous sand on the seismic inversion section is seen in the northeast-southwest direction which is estimated as the direction of gas distribution."

"Lapangan G yang berlokasi pada Cekungan Sumatera Selatan, merupakan salah satu lapangan reservoar hidrokarbon. Untuk mengetahui karakter dari reservoar Lapangan G, dalam penelitian ini, dilakukan pendekatan petrofisika serta penggunaan multi atribut seismik dengan metode Probabilistic Neural Network yang berfokus pada Formasi Gumai. Atribut seismik yang digunakan adalah atribut sesaat, yaitu amplitudo sesaat, fase sesaat, dan frekuensi sesaat serta parameter nilai petrofisika yang dicari adalah nilai porositas, saturasi air, dan volume shale. Anomali seismik Lapangan berupa dim spot diantara kedua patahan utama yang berorientasi NorthWest-SouthEast dan patahan berorientasi NorthEast-SouthWest, diperkirakan sebagai tempat akumulasi hidrokarbon. Output utama penelitian ini adalah hasil lumping untuk melihat zona suatu sumur yang memiliki prospek hidrokarbon dan hasil volume seismik prediksi dari ketiga nilai parameter petrofisika serta output sampingan dari interpretasi penampang seismik. Baik hasil lumping dan volume seismik prediksi, menampilkan bahwa Formasi Gumai memiliki prospek hidrokarbon yang juga ditampilkan pada data sumur, didapatkan bahwa Zona 5 pada Sumur G1 dan Zona 4 pada Sumur G3 memiliki prospek cadangan hidrokarbon dengan nilai volume shale sebesari 0.500, nilaii saturasii airi sebesari 0.406, dan nilai porositas sebesar 0.131.

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Field G, which is located in the South Sumatera Basin, isi onei ofi thei hydrocarboni reservoir fields. To determine thei character ofi thei G Field reservoir, in this study, a petrophysical approach was used and the use of multiple seismic attributes using the Probabilistic Neural Network method which focused on the Gumai Formation. Seismic attributes used are instantaneous attributes, namely instantaneous amplitude, instantaneous phase, and instantaneous frequency and the parameters of the petrophysical value sought are the value of porosity, water saturation, and shale volume. Seismic anomaly in the field in the form of a dim spot between the two main faults oriented NorthWest-SouthEast and fault oriented NorthEast- SouthWest, is estimated as a place of accumulation of hydrocarbons. The main output of this research is the lumping results to see the zone of a well that has hydrocarbon prospects and the predicted seismic volume results from the three petrophysical parameter values as well as the side output from the interpretation of the seismic cross-section. Both the lumping results and the predicted seismic volume, showing that the Gumai Formation has a hydrocarbon prospect which is also shown in the well data, it is found that Zone 5 in Well G1 and Zone 4 in Well G3 have prospects for hydrocarbon reserves with a shale volume value of 0.500, a water saturation value of 0.406, and a porosity value of 0.131."