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"Lapangan “K” adalah satu diantara banyaknya lapangan minyak yang terletak di Cekungan Sunda, terletak pada bagian lepas barat laut dari Pulau Jawa. Di lapangan ini telah teridentifikasi akan keterdapatan hidrokarbon. Tujuan utama didalam penlitian ini adalah untuk mengkarakterisasi reservoir karbonat pada lapangan “K”. Reservoir karbonat pada Formasi Gumai menjadi objek utama yang difokuskan pada penelitian ini. Penelitian ini menggunakan data seismik dan data well K-01 dan K-02. Metode inversi berbasis model dipilih untuk penelitian ini. Penggunaan inversi berbasis model pada penelitian ini didasarkan atas pembuatan model awal berupa model sintetik seismik. Setelah dilakukan inversi seismik berbasis model (model-based inversion), didapat nilai Zp (p-Impedance) sebesar 21104 hingga 22688 (ft/s*g/cc) pada target reservoir yang terletak diantara horizon UBR C5_NA hingga LBR_Litho_filled 6 September yang melewati kedua sumur. Hasil penampang inversi tersebut ditampilkan dengan adanya persebaran nilai Zp yang relatif tinggi pada horizon UBR C5_NA hingga LBR_Litho_filled 6 September, dimana arah persebaran karbonat tersebut cenderung ke arah selatan dan tenggara.. Hasil dari inversi ini diharapkan kedepannya diteliti dan dikembangkan dengan baik, dengan cara menambahkan beberapa metode-metode lainnya seperti metode inversi simultan dan multiatribut untuk mendapatkan hasil karakterisasi reservoir yang lebih akurat serta mengetahui sebaran jenis litologi dan fluida di daerah reservoir.

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The "K" field is one of the many oil fields located in the Sunda Basin, located in the northwestern part of the island of Java. In this field, hydrocarbons have been discovered. The main objective of this research is to characterize the carbonate reservoir in the "K" field. The carbonate reservoir in the Gumai Formation is the main object focused on in this research. This research uses seismic data and data from wells K-01 and K-02. A model-based inversion method was chosen for this study. The use of model-based inversion in this research is based on creating an initial model in the form of a synthetic seismic model. After carrying out a model-based seismic inversion, the Zp (p-Impedance) value was obtained at 21104 to 22688 (ft/s*g/cc) at the target reservoir located between the UBR C5_NA and  LBR_Litho_filled horizons on September 6, which passed the second well. The results of the inversion cross-section are shown by the relatively high distribution of Zp values ​​in the UBR C5_NA to LBR_Litho_filled horizons on September 6, where the direction of carbonate distribution tends to be south and southeast. It is hoped that the results of this inversion will be well researched and developed in the future, by adding several other methods such as simultaneous and multi-attribute inversion methods to obtain more accurate reservoir characterization results and determine the distribution of lithology and fluid types in the reservoir area."

"Telah berhasil dilakukan karakterisasi pada reservoir batuan karbonat pada lapangan Z dengan metode analisis AVO, Inversi Simultan, dan parameter LMR. Karakterisasi dilakukan untuk mengetahui litologi dan kandungan fluida dari batuan reservoir. Lapangan Z yang terletak pada cekungan Jawa Barat Utara mempunyai batuan reservoar berupa reef karbonat pada formasi Cibulakan Atas. Sebagai hasilnya pada analisis gradien AVO, dapat disimpulkan di zona target pada sumur W-37 yang mempunyai kandungan fluida berupa hidrokarbon terjadi pengurangan amplitudo yang lebih kuat bahkan terjadi pembalikan polaritas pada offset jauh. Kemudian dilakukan Inversi Simultan yang merupakan salah satu metode dalam proses Inversi AVO untuk menghasilkan parameter fisis impedansi-P, impedansi-S dan VpVs rasio. Kemudian ditransformasikan parameter Lamda-Mu-Rho yang sangat sensitif terhadap keberadaan hidrokarbon untuk mengetahui kadungan fluida reservoir. Berdasarkan analisis parameter LMR, menyatakan bahwa zona target pada sumur W-37 memiliki potensi kandungan hidrokarbon yang cukup banyak untuk diproduksi. Indikasi kandungan fluida reservoir dilakukan berdasarkan analisis crossplot yang menyatakan cutoff nilai Lamda-Rho 37-48 GPa*gr/cc dan Mu-Rho 20-30 GPa*gr/cc yang mewakilkan zona yang mengandung kandungan fluida berupa hidrokabon. Dan cutoff nilai Lamda-Rho 48-55 GPa*gr/cc dan Mu-Rho 30-40 GPa*gr/cc mewakilkan zona yang mengandung kadungan fluida berupa air. Dari nilai cutoff tersebut dapat diketahui penyebaran litologi dan kandungan hidrokarbon reservoir karbonat pada penelitian ini yang berarah Tenggara kemudian semakin menyebar kearah Barat Laut.

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Carbonate reservoir in Z field has been characterized with AVO analysis, Simultaneous Inversion, and LMR parameter. Characterization is conducted to determine the lithology and fluid content within the reservoir. Z field which is located in NorthWest Java Basin has reservoir rock in the form of reef carbonate in Cibulakan Atas Formation. As a result of AVO gradient analysis, it can be concluded that target zone in well W-37 which has hydrocarbon fluid content, has more stronger amplitude reduction even a reversal of polarity has happened on far offset. Then Simultaneous Inversion which is one the method in AVO Inversion process is performed to produce physical parameter such as P impedance, S impedance and VpVs ratio. Lambda-Mu-Rho parameter is transformed afterwards which is highly sensitive against the presence of hydrocarbons to determine reservoir fluid content. Based on the analysis of LMR parameters, stating that the target zone in well W-37 has quite a lot of potential of hydrocarbon deposits to be produced. Indications of reservoir fluid content is based on LMR crossplot analysis with cutoff Lambda-Rho 37-48 GPa*gr/cc and Mu-Rho 20-30 GPa*gr/cc as the zone that containing hydrocarbon fluid. And cutoff value of Lambda-Rho 48-55 GPa*gr/cc and Mu-Rho 30-40 GPa*gr/cc as the zone of water contained. From the cutoff value, can be known the distribution of the lithology and carbonate reservoir delineation directed to South-East, then spread to North-West."

"ABSTRACTTelah berhasil dilakukan karakterisasi pada reservoir karbonat menggunakan simultaneous inversion pada lapangan x untuk mengetahui litologi dan kandungan fluida pada lapangan X. Reservoir tersebut berupa reef karbonat pada formasi Tuban yang terletak di cekungan Jawa Timur bagian Utara. Reservoir karbonat berbeda dengan reservoir lainnya dikarenakan karbonat memilik tingkat heterogenitas yang tinggi serta dapat mengalami diagenesa. Inversi Simultan digunakan pada penelitian kali ini dikarenakan dapat menghasilkan parameter impedansi akustik, impedansi shear, dan densitas secara simultan. 3 output dalam inversi simultan kemudian akan dilakukan transformsi untuk mendapatkan parameter lame yaitu Lambda Rho yang sensitif terhadap fluida serta Mu Rho yang sensitif terhadap litologi. Diharapkan parameter Lame dapat mempertajam Identifikasi litologi maupun fluida yang berada di reservoir. Vp/Vs ratio juga dapat dimunculkan dengan bantuan dari ketiga output inversi simultan tersebut yang berguna juga untuk menganalisis fluida. Inversi Simultan yang dilakukan pada lapangan xdikontrol oleh dua sumur yaitu M01 dan M02 yang masing-masing diantaranya hanya berbeda 1 inline. Input data seismik yang digunakan pada penelitian kali ini adalah data angle gather. Berdasarkan analisis dari Lambda Mu Rho serta Vp/Vs ratio, zona target sumur M01 dan M02 memiliki potensi sebagai reservoir hidrokarbon. Indikasi hidrokarbon ini ditunjukan dari analisis crossplot Vp/Vs vs Lambda Rho dengan nilai Vp/Vs berkisar 1.7-1.8 dan Lambda Rho berkisar 40-60 Gpa g/cc dengan nilai Mu Rho berkisar 40 ndash; 80 Gpa g/cc. Dari nilai tersebut dapat dibuat slicing untuk mengetahui litologi dan arah penyebaran kandungan hidrokarbon dan arah sebarannya mengarah ke arah Barat Laut untuk litologi dan kandungan fluida hidrokarbon.

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ABSTRACTCarbonate Reservoir have been characterized in X field using Simultaneous Inversion to determine lithology and fluid content. This reservoir located in Nort East Java Basin in the form of big Reef Carbonate on Tuban Formation. Carbonate Reservoir has unique charateristics than the other reservoir because its heterogenities and diagenesis can be occured. Simultaneous Inversion used in this study because it can generate accoustic impedance, shear impedance and density simultaneously. Those 3 outputs then can be transformed to extract Lambda Rho which is sensitive to fluid content and Mu Rho which is sensitive to lithology. Vp Vs also can be generated from those 3 outputs which is usefull to determine fluid content. Hopefully, those parameters can be used to sharpen analysis about lithology and fluid content. Simultaneous inversion which used in X Field controlled by 2 wells, M01 and M02 which respectively only space for 1 inline. Seismic input on this study using angle gather. Based on analysis from Lambda Mu Rho and Vp Vs ratio, this reservoir has potential hidrocarbon inside. Hidrocarbon is indicated from crossplot Vp Vs vs Lambda Rho, Vp Vs is about 1.7 ndash 1.8 and Lambda Rho is about 40 ndash 60 Gpa g cc and Mu rho is about 40 ndash 80 Gpa g cc from Mu Rho vs Densitys Crossplot. Then Slicing can be generated to determine distribution of lithology and fluid content and the spreading delineated to North West for lithology and hidrocarbon fluid itself. "

"Lapangan ‘R’ merupakan lapangan eksplorasi yang berada pada Cekungan Jawa Timur Bagian Utara. Data yang digunakan pada studi ini meliputi data seismik darat 2D post stack danpre stack serta data log sumur. Pada data post stack terlihat adanya bright spot sebagai indikator keberadaan hidrokarbon (direct hidrokarbon indicator). Anomali DHI yang muncul pada data post stack memperlihatkan adanya energy atau nilai amplitudo yang membesar disbanding amplitudo sekitarnya. Anomali ini menjadi acuan untuk menganalisa anomali amplitudo terhadapoffset yang dikenal dengan anomali AVO. Fokus studi pada formasi Ngrayong dimana berdasarkan geologi regional merupakan reservoar utama dengan bukti outcrop yang memiliki porositas dan permeabilitas sangat baik. Analisa AVO dilakukan untuk menjawab penyebab anomali amplitudo apakah dikarenakan perbedaan litologi atau adanya fluida yang mengisi rongga batuan. Rekonstruksi penjalaran gelombang dilakukan dengan mengamati setiap CDP dari berbagai sudut dan offset yang berbeda-beda. AVO inversi melibatkan parameter gelombang S yang sensitive terhadap keberadaan fluida. Pada inversi AVO parameter fisis batuan lain seperti poisson ratio, Mu-rho (μρ), lambda-rho (λρ) dapat dihitung sebagai pendekatan keberadaan zona fluida. Hasil analisa sumur mengidentifikasi adanya reservoar batupasir terisi gas di formasi Ngrayong pada twt sekitar 717-721 ms untuk R-1, 270 ms - 275 ms pada sumur C-1 dan 968.2 ms - 970 ms pada K-1. Sebaran lateral reservoar berdasarkan hasil analisa integrasi AVO,dapat diamati melalui sebaran geometri reservoar pada lintasan 09TJP-07 yang membentang dari CDP 2507-2486 dan pada 09TJP-17 dari CDP 3606 - 3574. Hasil inversi P-impedance yang rendah pada twt yang sesuai degan hasil analisa sumur. Hasil Analisa dan Inversi AVO reservoar pada 09TJP-17 dan 09TJP-07 dapat terdeliniasi dengan nilai positif pada bagian atas dan bawah reservoar dan nilai LMR yang kontras pada reservoar terisi gas. Hasil AVO menyimpulkan gas yang mengisi reservoar adalah kelas II dan III yakni memiliki kontras impedansi yang kecil dengan sekitanya dan impedansi bernilai rendah.

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This study area located in North Earth Java Basin and it is still explorated. In this study, both seismic data post stack and prestack was provided. There was Direct Hidrocarbon Indicator (DHI) on seismic post stack. This DHI represent there are laterally strong energy or strong amplitude on that spot .DHI anomalies that arise post-stack data showed energy or amplitude value of the enlarged compared to the surrounding amplitude. This anomaly which identifies the anomaly amplitude against an offset known as AVO anomaly. Focus study on Ngrayong formation whereas base on geological regional whereas this formation have good porosity and permeability on outcrop.

AVO analysis used to know the causes of the anomaly amplitude is due to differences in lithological or fluid that fills the pore of rocks. Reconstruction of wave propagation is observed every CDP from different angle and offsets. AVO inversion involving S wave parameters that are sensitive to the presence of fluid. With AVO inversion, rock physical parameters such as Poisson ratio, Mu-rho (μρ), lambda-rho (λρ) can be calculated as the approach of fluidzone.

Results of well analysis identified the presence of reservoir filled with gas in Ngrayong Formations at around 717-721 ms for R-1, 270 ms - 275 ms in the well C-1 and 968.2 ms - 970 ms in K-1. Lateral reservoir distribution is based on the results of the integration analysis of AVO and Inversion methods, the distribution of reservoir geometry inline 09TJP-07 find at CDP 2507 to 2486 and in 09TJP-17 from CDP 3606 - 3574.

The results of inversion P-impedance, low impedance values in accordance with the results of the analysis wells. From AVO methods reservoir on 09TJP-17 and 09TJP-07 can deliniated with positive values at the top and base of the reservoir and contrast LMR on the reservoir gas. Gradient of this target concluded that reservoar fills by gas class II and III which has a low contrast impedance with the surrounding area and have low impedance value."

"Permasalahan yang muncul dalam mengkaraterisasi reservoar karbonat adalah heterogenitas dari sifat fisis porositas batuan. Karakterisasi batuan menjadi sulit karena estimasi kecepatan gelombang shear (Vs) yang digunakan cenderung kepada tipe pori dominan. Ada tiga jenis tipe pori utama di dalam geofisika yaitu interparticle (reference pores), stiff pores, dan cracks. Semua jenis tipe pori tersebut secara umum dapat ditemukan pada reservoar karbonat dengan demikian sehingga reservoar karbonat menjadi kompleks. Di tugas akhir ini, kami melakukan penelitian terhadap tipe pori yang ada pada reservoir karbonat di Jawa Timur, dengan menggunakan template rock physics menggunakan metode Self-Consistent untuk menganalisis pengaruh tipe pori pada sifat elastisitas batuan. Berdasarkan hal ini, jumlah volume fraction dari tipe pori yang beragam dapat diestimasi menggunakan data log porositas - bulk dan kecepatan gelombang pressure dari data sumur. Data - data tersebut dapat akan digunakan sebagai input untuk melakukan inversi tipe pori. Hasil dari inversi tipe pori dapat digunakan untuk mengidentifikasi tipe pori dan persentase pada masing - masing titik pengamatan dari zona target dalam bentuk log tipe pori. Variasi nilai persentase dan jenis tipe pori ditampillkan di data hasil. Data hasil ini membuktikan bahwa adanya kompleksitas tipe pori reservoar karbonat di Jawa Timur. Kompleksitas tipe pori dapat digunakan untuk membuat prediksi kecepatan gelombang shear (Vs.

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The problem that occurs in characterizing carbonate reservoir is the heterogeneity from physical properties of rocks porosity. Rocks characterization becomes difficult because the estimation of shear wave which has been used tend to dominant pore types. There are three types of main pores in geophysics which are interparticle (reference pores), stiff pores, and microcracks. All that pore types generally can be found in reservoir carbonate thus caused the reservoir becomes complicated. In this thesis, we do the research on the type of existing pores in East Java carbonat reservoir using rock physics template with Self-Consistent Methode to be able to analyze influence of the type of pores on the elastic properties rocks. Based on this, the number of the volume fraction of the various pore types can be estimated using log data of bulk porosity and P - wave velocity from well data. Those data will be used as input to perform pore - type inversion. The result of pore types inversion that has been carried out to identify types of pores and percentage at each point of observation of the target zone in form of a pore types log. Variations in the value of percentage and kind of pore types are shown in the result data. This data is proving that the type of pore heterogenity in East Java carbonat reservoir from sample to sample. Pore types log data can be used to predict shear wave velocity"

"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.

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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."

"Melalui metode inversi seismik yang digabungkan dengan simulasi geostatistik diperoleh suatu gambaran yang lebih rinci mengenai karakter reservoar pada lapangan "X", Cekungan Kutai dibandingkan dengan metode inversi seismik secara deterministik baik secara lataeral maupun vertikal. Proses inversi terlebih dahulu dilakukan kemudian dilanjutkan proses simulasi geostatistik untuk menghasilkan kemungkinan-kemungkinan terbaik model sebaran properti lapisan zona target disesuaikan dengan kondisi geologi lapangan dan mendekati batasanbatasan data yang dimiliki. Analisa variogram terhadap sebaran data lateral maupun horizontal memerlukan pengerjaan khusus terkait isotropik dan anisotropik. Untuk pendekatan geostatistik inversi pada lapangan "X" Cekungan Kutai diperoleh sebaran data impedansi akustik dengan resolusi vertikal yang lebih baik dibandingkan hasil dari inversi biasa, walaupun secara statistik tidak nampak perbedaan. Simulasi probabilitas sebaran batu pasir terhadap hasil geostatistik inversi diperoleh sebagai hasil terbaik dari beberapa kemungkinankemungkinan yang ada.

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Seismic inversion methods was combined with geostatistical simulation to obtain a more detailed picture of the characteristic of the reservoir on the field "X", Kutai Basin compared with the seismic inversion methods deterministically both lateral and vertically. Inversion process first made and then continued with geostatistical simulation process to produce the best possibilities layer property distribution models tailored to the target zone of the geological conditions of the field and approached the limits of data held.

Variogram analysis of the lateral and horizontal distribution of the data requires special processing adjustment associated to isotropic and anisotropic. For geostatistical inversion approach on the field "X" Kutai Basin acoustic impedance data obtained distribution with better vertical resolution than the result of the usual inversion, although the difference was not statistically visible. Simulating the probability distribution of sandstone on the results of geostatistical inversion was obtained as the best result of several possibilities exist."

"Identifikasi reservoar karbonat dan batuan dasar berdasarkan inversi simultan telah dilakukan pada lapangan ldquo;F cekungan Sumatera Selatan. Reservoar karbonat pada lapangan ini berada pada Formasi Batu Raja BRF yang merupakan salah satu reservoar karbonat produktif di cekungan ini. Penelitian ini dilakukan untuk menkonfrimasi kesalahan interpretasi zona prospek pada reservoar karbonat tersebut. Menurut studi sebelumnya, pada formasi ini terdapat zona potensial yang ditunjukan oleh nilai impedansi akustik yang rendah pada bagian barat daerah penelitian. Akan tetapi hasil dari pengeboran menunjukkan fakta yang berbeda dimana area ini diindikasikan sebagai batuan dasar lapuk. Impedansi akustik tidak mampu memisahkan kedua jenis batuan ini batuan karbonat dan batuan dasar . Oleh karena itu untuk memisahkan kedua jenis batuan tersebut diperlukan parameter elastik lainnya. Berdasarkan analisis crossplot dari beberapa sumuran, Vp/Vs dan lambda-rho adalah parameter elastik yang paling sensitif untuk memisahkan keduanya. Untuk mendapatkan parameter tersebut, penelitian ini mengunakan inversi simultan dengan lateral variant wavelet. Tujuan penerapan lateral variant wavelet untuk menjaga kualitas dari hasil inversi pada zona batuan dasar. Lateral variant wavelet diekstraksi mengunakan data sumur yang mewakili kedua jenis batuan tersebut. Hasil penelitian menunjukkan bahwa parameter elastik hasil inversi seismik dengan lateral variant wavelet dapat memisahkan batuan dasar lapuk. Pemisahan kedua batuan tersebut diindikasikan oleh nilai Vp/Vs dan lambda-rho yang relatif lebih rendah dibandingkan dengan reservoar karbonat.

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Identification of carbonate reservoir and basement using multi wavelet simultaneous inversion has been done. This research had been carried out for justifying pitfall interpretation of carbonate reservoir in BRF.

Refer to the previous study, the potential zone, which indicated by low acoustic impedance in the western part of study area, is not prospect zone. Obviously based on the drilling information thus area suggested as weathered basement. This means there are pit fall when we rely only on the acoustic impedance. Therefore, to distinguish between carbonate and weathered basement we need another sensitive elastic parameter.

Based on multi well cross plot analysis of elastic parameters, Vp Vs and lambda rho are sensitive to separate them. This study applied simultaneous seismic inversion which was combined with lateral variant wavelet to get that parameter from seismic data. The intention of the application of lateral variant wavelet is to preserve good correlation between the prospect zone and non prospect zone. The lateral variant wavelet were extracted from well, which is located in the certain location representing the BRF zone and weathered basement.

The result show that the weathered basement was indicated by low Vp Vs and low lambda rho compared to carbonate reservoir."

"Sebuah penelitian mengenai karakterisasi reservoar karbonat dan identifikasi fluida pengisi pori pada lapangan ?A? yang berlokasi di Cekungan Jawa Timur Utara telah dilakukan. Inversi EEI digunakan sebagai alat untuk mengetahui distribusi hidrokarbon di bawah permukaan. EEI/impedansi elastik yang merupakan ?kasus? umum dari impedansi akustik (hanya pada sudut normal) ternyata berkorelasi dengan beberapa parameter elastik pada sudut (χ) spesifik, yang dikenal dengan istilah best chi angle. Spektrum EEI (χ = -90 sampai χ = 90) dikorelasikan dengan beberapa parameter elastik batuan, yakni vp/vs ratio, lambda-rho, mu-rho, porositas, saturation water, poisson?s ratio, dan Vclay. Parameter-parameter elastik tersebut berguna sebagai pembeda litologi dan fluida pengisi pori. Namun korelasi yang baik hanya diperoleh pada parameter vp/vs ratio, lambda-rho, dan mu-rho. Kemudian dibentuk tiga model volume EEI untuk masing-masing parameter tersebut dan dilakukan inversi. Volume EEI yang berkorelasi dengan mu-rho yang berguna sebagai pembeda litologi menunjukkan bahwa reservoar karbonat menyebar ke arah Barat laut relatif terhadap tiga sumur yang digunakan dalam penelitian. Kedua volume EEI yang berkorelasi dengan vp/vs ratio dan lamda-rho yang berguna sebagai pembeda fluida pengisi pori menunjukkan bahwa fluida pengisi pori ialah gas.

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A study case of carbonat reservoir characterization and pore fluid identification of Field ?A? located at East North Java Basin was did. EEI inversion is used as tool to find the distribution of hydrocarbon beneath the surface. EEI or simply elastic impedance which the general case of acoustic impedance (only at normal incident) correlate with some certain elastic parameters with specific angle that called as the best chi angle. EEI spectrum (χ = -90o through χ = 90o) was correlated with few elastic parameters, i.e. vp/vs ratio, lambda-rho, mu-rho, porosity, saturation water, poisson?s ratio, and Vclay. Those parameters used for lithology and pore fluid discrimination. However only vp/vs ratio, lambda-rho, and mu-rho who have good enough correlation with EEI at certain angle. Then three EEI volume models for each parameters were made and inverted. EEI volume that correlated with mu-rho that used for lithology dicrimination shows that the carbonat reservoir spread to the north west direction relative to the three wells used in this study, according to the very high mu-rho value. And then both of the EEI volume correlated with vp/vs ratio and lambda-rho that used for pore fluid discrimination show that the pore fluid is gas, according to the very low vp/vs ratio value."

"[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.]"