Application of maximum likelihood attribute based on structure orientation in the design of drilling trajectory optimization
Received date: 2023-08-14
Online published: 2024-09-29
Copyright
The development of fault and fracture systems usually leads to risks such as well leakage and water invasion during the drilling process. The complex geological structure、strong reservoir heterogeneity、developed faults and poor quality seismic data in the high sulfur area of the northeastern Sichuan Basin make it challenging for the fine delineation of the distribution laws of faults and fractures in the study area using the conventional technologies such as curvature and coherence et al, and cannot effectively guide the optimization design of drilling trajectories. Therefore, the fracture fine characterization technology of maximum likelihood attribute based on structure orientation is proposed according to the geological characteristics of the study area, and it can finely depict the distribution regularity of fractures. The analysis of the existing drilling trajectory design illustrates that the areas where well leakage and water invasion occur during the actual drilling process have a certain degree of consistency with the predicted fracture development area, indicating the accuracy of fracture characterization. In subsequent drilling trajectory design, the fracture area has been avoided effectively, reducing the risk of well leakage and water invasion. Therefore, the areas where faults and fractures developed in the study area can be accurately depicted using the technology, and then guiding the optimization design of the drilling trajectory. The proposed method can reduce the risks of well leakage, water invasion, etc. during the drilling process, which is of great significance for drilling design and drilling safety.
Chun QING , Xin LUO , Hang ZHANG , Zhun RONG , Qi ZHANG , Shuang YAN , Yang LIU . Application of maximum likelihood attribute based on structure orientation in the design of drilling trajectory optimization[J]. Progress in Geophysics, 2024 , 39(4) : 1501 -1511 . DOI: 10.6038/pg2024HH0299
图4 研究区沿须家河组底界面的地震属性切片(a) 最大正曲率;(b) 相干;(c) 基于方差的蚂蚁体;(d) 基于最大正曲率的蚂蚁体. Fig 4 The seismic slices extracted from the bottom of Xujiahe in the study area (a)Most positive curvature; (b) Coherent; (c) The ant-tracking based on variance; (d) The ant-tracking based on most positive curvature. |
图5 地震剖面预处理前后对比(a)原始剖面;(b)弱振幅增强后;(c)滤波处理后. Fig 5 Seismic sections comparison before and after preprocessing (a) Original section; (b) After weak amplitude enhancement; (c) After filtering. |
图7 地震剖面与不同方法技术预测的属性融合显示(a)基于倾角的相干;(b)基于方差的蚂蚁体;(c)未经构造导向滤波的似然属性(指数n=8);(d)本文方法(指数n=8). Fig 7 The fusion of attributes predicted by different methods with seismic section (a) The coherent based on dip; (b) The ant-tracking based on variance; (c) The likelihood attribute before structure-oriented filtering; (d) The proposed method. |
图8 过well-1井不同方向上最大似然属性在地震剖面的叠合显示(a)Inline方向;(b)Xline方向;(c)设计的井轨迹方向. Fig 8 The display of maximum likelihood attribute overlay in seismic section from different directions across through the well-1 (a) Inline direction; (b) Xline Direction; (c) Direction of designed drilling trajectory. |
感谢审稿专家提出的修改意见和编辑部的大力支持!
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