[ABSTRAK
Prediksi tekanan pori merupakan hal yang penting dalam persiapan programpemboran, khususnya jika diprediksi menembus zona gas dangkal. Programpemboran akan mempengaruhi saat penentuan desain selubung pemboran, beratlumpur dan mitigasi tekanan abnormal sebagai bahaya pemboran. Di lapangan ?B?,Cekungan Sumatera Tengah beberapa sumur mengalami tendangan lumpur (kick).Kejadian tersebut yang melatar belakangi studi tekanan pori untuk pemboranselanjutnya. Studi ini ditekankan pada teknik integrasi prediksi tekanan pori dari datasumur, yaitu data pemboran, wireline log, data tekanan formasi dan data seismik 2-D.Saat ini, teknologi seismik dengan dasar teknik geopressure dapatmemberikan estimasi tekanan dari data kecepatan seismik dikombinasikan dengandata sumur memiliki tren yang sama. Studi ini menggunakan hasil analisa kecepatanseismik untuk mendapatkan resolusi tinggi kecepatan dalam tiga dimensi. Tahapkalibrasi dilakukan berdasarkan hasil perhitungan tekanan pori dari data sumur danwell log. Metoda Eaton merupakan metoda empiris untuk mengestimasi tekanan poridata log sonik, resistivitas, dan densitas yang dikalibrasi dengan pengukuran tekananformasi dari data RFT dan DST. Prediksi tekanan pori di Lapangan ?B? dilakukandapat membuat prediksi di seluruh area lapangan dan berguna dalam desain selubungpemboran, berat lumpur, dan pencegahan untuk drilling hazard.
ABSTRACT
Pore Pressure Prediction is crucial to prepare a safe drilling programespecially if there the well will potentially intersect shallow gas zones. It influencescasing design, drilling mud weight and mitigation of overpressure as a drillinghazard. In the ?B? Block, Central Sumatra Basin several wells have experiencedkicks. These kicks led me to conduct a pore pressure study ahead of future drilling.The work more emphasize the technique integrated pore pressure prediction (PPP)brings together well and 2-D seismic data. The study used as input data from drillingdata, wireline logs, pressure tests,and 2D Seismic.Nowadays, seismic technology-based geopressure techniques provide anestimation of pore pressure from seismic velocity combine with well data has arelation in trend. This study uses velocity analysis result to obtain a high-resolutionvelocity cube. Afterward, calibrated to pore pressure using well log and drillingdata. The Eaton method is an empirical method to estimate pore pressures fromsonic, resistivity and density logs which are calibrated to measured pore pressuresfrom RFT and DST. In the ?B? Block, the resistivity data did not reliably characterizepore pressure, and density data was incomplete, so the sonic log proved to be themost appropriate source data. Reliable pore pressure distribution required anempirical relationship between pore pressure and velocity. The Bentu Block porepressure model created in this study allowed us to predict pore pressure throughoutthe block, and was used to design a drilling program especially for proposedelineation wells, casing design, drilling mud weight, and overpressure prediction toprevent drilling hazards., Pore Pressure Prediction is crucial to prepare a safe drilling programespecially if there the well will potentially intersect shallow gas zones. It influencescasing design, drilling mud weight and mitigation of overpressure as a drillinghazard. In the ‘B’ Block, Central Sumatra Basin several wells have experiencedkicks. These kicks led me to conduct a pore pressure study ahead of future drilling.The work more emphasize the technique integrated pore pressure prediction (PPP)brings together well and 2-D seismic data. The study used as input data from drillingdata, wireline logs, pressure tests,and 2D Seismic.Nowadays, seismic technology-based geopressure techniques provide anestimation of pore pressure from seismic velocity combine with well data has arelation in trend. This study uses velocity analysis result to obtain a high-resolutionvelocity cube. Afterward, calibrated to pore pressure using well log and drillingdata. The Eaton method is an empirical method to estimate pore pressures fromsonic, resistivity and density logs which are calibrated to measured pore pressuresfrom RFT and DST. In the ‘B’ Block, the resistivity data did not reliably characterizepore pressure, and density data was incomplete, so the sonic log proved to be themost appropriate source data. Reliable pore pressure distribution required anempirical relationship between pore pressure and velocity. The Bentu Block porepressure model created in this study allowed us to predict pore pressure throughoutthe block, and was used to design a drilling program especially for proposedelineation wells, casing design, drilling mud weight, and overpressure prediction toprevent drilling hazards.] |
T38097-Yosef Ronald Costam.pdf :: Unduh