Abstract

Abstract Affected by the surrounding injection and production wells, the formation near the infill adjustment well is in an abnormal pressure state, and drilling and completion operations are prone to complex situations and accidents such as leakage and overflow. The conventional shut down method is to close all water injection wells within 500 meters from the adjustment well to ensure the safety of the operation, but at the same time reduce the oil field production. This paper proposes a design method for shut-in of water injection wells around adjustment wells based on injection-production data mining. This method is based on the influence of correlation of complex pressure wells under injection and production conditions, and uses water injection index and fluid production index as research objects. Data mining methods are used to find highly correlated wells for precise adjustment instead of conventional adjustment. This method was applied to 20 infill adjustment wells in the Penglai Oilfield in Bohai Sea. The correlation between injection and production wells was calculated using the water injection index and fluid production index of more than 500 injection wells and production wells. Controlling the precise shut-in of highly correlated wells ensures that well pressures are kept within safe limits during drilling and completion operations and that no abnormalities occur. Low-relevant wells do not take shut-in adjustment measures. After a single adjustment well is drilled, the surrounding injection wells can increase the water injection volume by more than 5000m3. This method achieves accurate shut-in for water injection wells that are highly correlated with the adjustment well. Under the premise of ensuring the safety of drilling operations, the impact of adjusting drilling and completion on oilfield development is minimized, and oilfield production efficiency is improved. It has good application and promotion value.

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