2D Seismic and Well Log Data Integration to Predict Pore Pressure Distribution in Brilian Field, Bintuni Basin

R. V
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Abstract

Accurate pore pressure prediction in drilling activities supports the safety and economic aspects of avoiding loss, kick, or blowout. This is more so when the drilling is carried out in limestone lithology with various pore pressures in the same formation. Bintuni Basin is one of the productive basins in Eastern Indonesia, with limited pore pressure predictions in the Steenkool Formation. Brilliant Field in Bintuni Basin has been actively producing hydrocarbon from limestone lithology in the Kais Formation since 1981, with the least pore pressure prediction. Integration of 2D seismic data and well data has been carried out to obtain more accurate pore pressure distribution in Kais Formation, Brilian Field, Bintuni Basin. Pore pressure prediction uses Eaton's empirical approach to the relationship between formation resistivity values and pore pressure to depth. Prediction of 1D pore pressure in wells R-3, R-4, R-5, and RD-1 shows that the pore pressure distribution tends to be hydrostatically normal, which is validated by plotting mud weight data, drilling events, and gas readings for each well. 2D seismic and well data integration results show that high porosity is randomly distributed due to the dolomitization process and aragonite dissolution. Meanwhile, low porosity values are associated with thin shale and clay lithology that spread laterally at the top of Kais Formation due to transgression and overflow from the Sekau Reefal zone. Pore pressure distribution based on integrating 2D seismic data and well data in the Kais Formation, Brilian Field, Bintuni Basin laterally tends to be homogeneous. It normally increases with increasing depth in terms of no indication of a drastic increase or decrease in pressure values.
利用二维地震测井资料综合预测滨图尼盆地Brilian油田孔隙压力分布
准确的孔隙压力预测有助于钻井作业的安全性和经济性,避免漏失、井涌或井喷。当在同一地层中具有不同孔隙压力的石灰岩岩性中进行钻井时,更是如此。Bintuni盆地是印尼东部的高产盆地之一,但Steenkool组孔隙压力预测有限。宾图尼盆地Brilliant油田自1981年以来一直活跃于Kais组灰岩岩性,孔隙压力预测最小。在Bintuni盆地Brilian油田进行了二维地震资料与井资料的整合,获得了更精确的孔隙压力分布。孔隙压力预测使用Eaton的经验方法来处理地层电阻率值和孔隙压力与深度之间的关系。对R-3、R-4、R-5和RD-1井的一维孔隙压力预测表明,孔隙压力分布趋向于静水正态分布,通过绘制每口井的泥浆比重数据、钻井事件和气体读数来验证这一点。二维地震和井资料综合结果表明,由于白云化过程和文石溶蚀作用,高孔隙度是随机分布的。同时,低孔隙度与Sekau Reefal带的海侵和溢流在Kais组顶部横向扩散的薄页岩和粘土岩性有关。通过对Bintuni盆地Brilian油田Kais组二维地震资料和井资料的综合分析,发现该地区横向孔隙压力分布趋于均匀。它通常随着深度的增加而增加,没有迹象表明压力值急剧增加或减少。
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