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Statistical Analysis Methods for Well Placement
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 83rd EAGE Annual Conference & Exhibition, Jun 2022, Volume 2022, p.1 - 5
Abstract
Summary
Driven by the oil and gas marketplace, reservoir engineering practices are challenged to maximize the return on investment and improve hydrocarbon recovery. One of those practices is optimal well placement. There has been abundant work done on sweetspots identification; however, well trajectory design in sweetspots still remains an outstanding challenge. The challenge is due to a number of factors including the size and complexity of the reservoir as well as the availability of computing resources. Field development plans that include placing large number of wells require a significant amount of time and effort to explore and analyze all possible scenarios before selecting the optimum one. This work presents a new approach that uses statistical data analysis (SDA) to enable quick and seamless placement and design of hundreds of wells in high potential locations within the reservoir. The approach uses clustering algorithms to identify the location of wells in a sweetspots map and then applies 3D orthogonal distance regression (ODR) to design and place well trajectories.
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