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Abstrak :
[ABSTRAK
Reservoar gas pada lapisan tipis merupakan sesuatu yang menarik untuk dianalisis karena reflektor yang mengalami destruktif apabila berada dibawah tuning thickness atau 1/4λ. Penelitian ini adalah penelitian dengan mencoba preconditioning kembali data PSTM gather yang nantinya akan menjadi input analisis AVO. Peningkatan resolusi dan nilai signal to noise ratio menjadi tujuan dari penelitian ini. Usaha prosesing yang dilakukan adalah proses F-K Filter, Trimming Statics dan Super Gather. Setelah melalui ketiga proses diatas, analisis AVO pun dilakukan dengan metode cross plotting. Hasil preconditioning pada penelitian ini menunjukkan bahwa ada anomali AVO yang merupakan jenis AVO klas IV. Hasil ini diperkuat dengan metode analisis Cross Plotting pada setiap atribut dari AVO itu sendiri.

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ABSTRACT
Gas reservoir on thin layer is something interested to analyze due to destructive reflector which is below 1/4λ or tuning thickness condition. This research is trying to do re-preconditioning on PSTM gather which will be input of AVO analysis. Increased in resolution and signal to noise ratio become goal of this research. Processing efforts had been done, such as: F-K Filter, Trimming Statics and Super Gather. After all process above, AVO analysis was conducted by using Cross Plotting method. Result of re-preconditioning in this research tells class IV of AVO anomaly. The result is strengthen by analysis method of Cross Plotting which are came from AVO attributes of Cross Plot.;Gas reservoir on thin layer is something interested to analyze due to destructive reflector which is below 1/4λ or tuning thickness condition. This research is trying to do re-preconditioning on PSTM gather which will be input of AVO analysis. Increased in resolution and signal to noise ratio become goal of this research. Processing efforts had been done, such as: F-K Filter, Trimming Statics and Super Gather. After all process above, AVO analysis was conducted by using Cross Plotting method. Result of re-preconditioning in this research tells class IV of AVO anomaly. The result is strengthen by analysis method of Cross Plotting which are came from AVO attributes of Cross Plot., Gas reservoir on thin layer is something interested to analyze due to destructive reflector which is below 1/4λ or tuning thickness condition. This research is trying to do re-preconditioning on PSTM gather which will be input of AVO analysis. Increased in resolution and signal to noise ratio become goal of this research. Processing efforts had been done, such as: F-K Filter, Trimming Statics and Super Gather. After all process above, AVO analysis was conducted by using Cross Plotting method. Result of re-preconditioning in this research tells class IV of AVO anomaly. The result is strengthen by analysis method of Cross Plotting which are came from AVO attributes of Cross Plot.]

Abstrak :

Daerah penelitian merupakan suatu struktur penghasil hidrokarbon konvensional yang terletak di bagian tenggara Cekungan Sumatra Selatan dan di bagian baratlaut tinggian lampung. Penelitian ini bertujuan untuk mengevaluasi  potensi  shale hidrokarbon  pada daerah tersebut. Evaluasi shale hidrokarbon dilakukan pada tiga sumur, sumur X-1, X-2 dan X-3 dengan target pada formasi Talang Akar Atas. Evaluasi berdasarkan analisis geokimia, petrofisika, dan interpretasi seismik. Analisis geokimia menghasilkan bahwa shale formasi target memiliki material organik yang cukup berpotensi dan juga matang. Hidrokarbon yang dihasilkan berupa minyak. Analisis petrofisika dilakukan untuk mendapatkan model TOC dan brittleness index. Pemodelan TOC dilakukan dengan 4 metode yaitu Schmoker, Passey, Multi Regresi Linier, dan Neural Network. Dari keempat metode tersebut,Neural Network yang menghasilkan data paling baik. Korelasi yang didapat pada sumur X-1 adalah 0.96 dan 0.84 untuk sumur X-3. Berdasarkan nilai brittleness index, Sumur X-1 memiliki shale yang bersifat less ductile – less brittle sementara sumur X-2 dan X-3 memiliki shale yang bersifat less brittle. Sumur X-1 memiliki potensi shale hidrokarbon berada pada kedalaman 2054 – 2081 m dengan ketebalan 27 m dengan rentang nilai brittleness 0.3 – 0.34 dan rentang TOC 2.0 – 4.4 wt% serta impedansi akustik 7200-9900 gr/cc*m/s. Sumur X-3 memiliki potensi shale hidrokarbon berada pada kedalaman 1461-1487 dengan ketebalan 26 m dengan rentang TOC 1.8 – 3.94 wt% dan brittleness index berkisar 0.35-0.44, dan impedansi akustik 9197 - 10964 gr/cc*m/s. Shale yang berpotensi menjadi shale hidrokarbon tersebar pada daerah sekitar sumur X-2 dengan nilai brittleness sekitar 0.38-0.4 yang termasuk sifat less brittle dan TOC dengan nilai sekitar 3 wt%.

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The research area is a structure that produce conventional hydrocarbon located in the southeastern part of the South Sumatra Basin and in the northwest part of the Lampung highlands. This study aims to evaluate the shale hydrocarbon potential in the area. Evaluation of shale hydrocarbons was carried out on three wells, X-1, X-2 and X-3 wells with target in the Upper Talang Akar formation. Evaluation based on geochemical analysis, petrophysics, and seismic interpretation. Geochemical analysis produces that the target shale formation has quite potential and mature organic material. The hydrocarbons produced are oil. Petrophysical analysis is performed to obtain the TOC model and brittleness index. TOC modeling is done with 4 methods, namely Schmoker, Passey, Multi Linear Regression, and Neural Network. Based on  the four methods, the Neural Network produces the best data. The correlation obtained in X-1 wells is 0.96 and 0.84 for X-3 wells. Based on the brittleness index value, X-1 wel has a shale that is less ductile - less brittle while X-2 and X-3 wells have less brittle shale. The X-1 well has a hydrocarbon shale potential at a depth of 2054 - 2081 m with a thickness of 27 m with a range of 0.3 - 0.34 brittleness and TOC 2.0 - 4.4 wt% and acoustic impedance 7200-9900 gr / cc * m / s. The X-3 well has shale hydrocarbon potential at a depth of 1461-1487 with a thickness of 26 m with a range of TOC 1.8 - 3.94 wt% and brittleness index ranging from 0.35-0.44, and acoustic impedance 9197 - 10964 gr / cc * m / s. The distribution of shale which has the potential to become shale hydrocarbons is around the X-2 well with the value of brittleness is around 0.38-0.4 (less brittle) and the value of TOC is around  3 wt%.  

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

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Conventional seismic inversion that produces cross-sectional acoustic impendance is limited in identifying lithology. Prestack inversion i.e.simultaneous inversion that is capable of predicting not only acoustic impedance parameter, but also the shear impedance and density has been applied to solve that problem. By obtaining these three parameters, we can get the parameters of lambda-rho and mu-rho that are more sensitive to lithology and fluid to sharpen the identification of lithology and fluid reservoir. Simultaneous inversion, that aims to characterize the sandstone reservoir and the distribution of gas, done in the case of ?C‟ Field located in the West Natuna Basin. Inversion performed on the data near angle stack (5o-15o), mid angle stack (15o-25o), and far angle stack (25o-35o) with two control wells CS-1 and CSR-3. Inversion carried out also includes the analysis of lambda-rho and mu-rho derived from the acoustic impedance and shear impedance. The obtained results are the distribution of sandstone reservoir can be predicted using the parameter of shear impedance and mu-rho with shear impedance cut off ± 3300 m/s*g/cc & mu-rho cut off ± 11 GPa*g/cc while the presence of gas can be predicted by using the parameter of lambda-rho and VpVs ratio with lambda-rho cut off ± 11 - 20 GPa*g/cc & VpVs ratio cut off ± 1.8. Thus, estimated sandstone reservoir is located around inversion anticline with the channel deposition in the southeast area of research.