Fixed point continuous monitoring system of oilfield skeleton and its application

Abstract

Aiming at fixed monitoring well point in oil field monitoring deployment chaotic, block monitoring percentage change is big, suitable for lack of contrast data, and poor adaptability to changes in the cost problem, plane layout, well pattern deployment, give attention to two or morethings injection-production differences, etc., to determine the skeleton designated strip continuous monitoring, use the statistical methods such as cluster analysis, deep learning, combining with the field dynamic data changes, To optimize the deployment of well points, determine the principle of “skeleton well fixed continuous monitoring, nonskeleton well according to demand”, establish skeleton fixed continuous monitoring system, achieve the purpose of saving monitoring costs and improving the accuracy of reservoir evaluation. Research results show that the skeleton fixed-point continuous monitoring system to meet the needs of overall reservoir evaluation, more through rules deployment of a certain percentage of the skeleton well point and the fixed location monitoring of the stability can be compared to the continuity of the data, ensure the evaluation precision reservoir framework, at the same time using the non-framework change monitoring well balance monitoring proportion, key and the key blocks of costs change with a strong adaptability. Through research and field practice, it has been proved that the skeleton fixed-point continuous monitoring system combines oilfield monitoring deployment with traditional geological profile analysis mode, and realizes the fusion application of three system frameworks: dynamic monitoring, geological static and numerical simulation, which is helpful to promote the process of precise grid management of reservoir.