Hasil Pencarian  ::  Simpan CSV :: Kembali

Hasil Pencarian

Ditemukan 2 dokumen yang sesuai dengan query
cover
Ahmad Anshariy
"[ABSTRAK
Lapangan 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.

ABSTRACT
Athar 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 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 prospec in gas production, Athar 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 prospec in gas production]"
Depok: Universitas Indonesia, 2015
T44190
UI - Tesis Membership  Universitas Indonesia Library
cover
Sinaga, Taufik Mawardi
"Reservoir karbonat diperkirakan mengandung hampir 60% dari total cadangan hidrokarbon dunia dan diperkirakan memiliki 50% dari total produksi hidrokarbon. Hidrokarbon umumnya terdapat pada batuan berpori. Porositas batuan karbonat umumnya memiliki heterogenitas yang tinggi, kompleksitas, dan random. Salah satu metode yang efektif untuk mengatasi heterogenitas adalah metode neural network. Sehingga penelitian ini bertujuan untuk menetukan distribusi porositas dengan neural network pada batuan karbonat dengan menggunakan 2 data sumur dan data seismik 2D post stack time migration (PSTM) pada lapangan T. Seismik atribut yang digunakan sebagai input proses probabilistic neural network berupa data seismik dan hasil inversi serta log yang akan diprediksi penyebarannya. Digunakan step wise regression dan validation error untuk menentukan atribut terbaik yang akan digunakan.
Hasil prediksi nilai porositas menggunkan probabilistic neural network dengan input atribut terbaik yang telah terpilih menghasilkan korelasi yang lebih baik 0.81 dengan error 0.03 dibanding dengan metode multiatribut yang menggunakan persamaan linier yaitu 0.66 dengan error 0.04 dan hasil model log prediksi mendekati log aktual. Hasil distribusi porositas dapat dianilisis bahwa nilai porositas pada sumur C1 memiliki nilai porositas efektif yang rendah dibandingkan dengan sumur C4.

Reservoir carbonate mostly contains 60% of total hydrocarbon preserves in the world, and it is predicted about 50% which is produced hydrocarbon. Commonly, hydrocarbon is found in the rock pores. The porosity of carbonate, generally, has high heterogeneity, complexity, and random. One of effective methods to solve the problem is neural network. The aim of this study is to determine the distribution of porosity using neural network for carbonate in T field. Seismic attribute is used as input in neural network process which is seismic data, inversion result, and well log. Step wise regression and validation error are used to determine the best attributes that will be used to.
The prediction result of porosity using probabilistic neural network with the best attribute has better correlation than using multi attributes for linier method. The correlation and error value using neural network are 0.08% and 0.03%, while the value of correlation and error using multi attribute for linier method are 0.06% and 0.04%, respectively. The predicted log model is approaching the actual log. The result of porosity distribution shows that the porosity value of well C1 has lower effective porosity than well C4.
"
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
T53081
UI - Tesis Membership  Universitas Indonesia Library