New well pattern optimization methodology in mature low-permeability anisotropic reservoirs

• Published in: Journal of geophysics and engineering Vol. 15; no. 1; pp. 93 - 105
• Main Authors: Qin, Jiazheng, Liu, Yuetian, Feng, Yueli, Ding, Yao, Liu, Liu, He, Youwei
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.02.2018
• Subjects: coordinate transformation; low-permeability reservoir; matrix transformation; permeability anisotropy; reservoir simulation; well pattern optimization
• ISSN: 1742-2132; 1742-2140
• DOI: 10.1088/1742-2140/aa83e8

In China, lots of well patterns were designed before people knew the principal permeability direction in low-permeability anisotropic reservoirs. After several years' production, it turns out that well line direction is unparallel with principal permeability direction. However, traditional well location optimization methods (in terms of the objective function such as net present value and/or ultimate recovery) are inapplicable, since wells are not free to move around in a mature oilfield. Thus, the well pattern optimization (WPO) of mature low-permeability anisotropic reservoirs is a significant but challenging task, since the original well pattern (WP) will be distorted and reconstructed due to permeability anisotropy. In this paper, we investigate the destruction and reconstruction of WP when the principal permeability direction and well line direction are unparallel. A new methodology was developed to quantitatively optimize the well locations of mature large-scale WP through a WPO algorithm on the basis of coordinate transformation (i.e. rotating and stretching). For a mature oilfield, large-scale WP has settled, so it is not economically viable to carry out further infill drilling. This paper circumvents this difficulty by combining the WPO algorithm with the well status (open or shut-in) and schedule adjustment. Finally, this methodology is applied to an example. Cumulative oil production rates of the optimized WP are higher, and water-cut is lower, which highlights the potential of the WPO methodology application in mature large-scale field development projects.