Production Optimization Based on Inter-Well Connectivity Analysis Using Multi-Source Data in X Oilfield, China

Abstract

Abstract The importance of inter-well connectivity analyses as key aspects of production optimization research is evident. However, at present, research on inter-well connectivity mostly relies on experimental analysis or theoretical derivation, and limitations in data and methods cause difficulty in ensuring its accuracy. This paper took X Oilfield as its research object and applied a combination of experimental analysis, theoretical research, and numerical reservoir simulation to conduct research on inter-well connectivity and production optimization in X Oilfield. Firstly, the inter-well connectivity was analyzed via the use of inter-well tracers, interference testing, and chloride values. An inter-well multi-layer connectivity mathematical model was then established, and a solution was identified and verified. Subsequently, multi-source data obtained via experimental analysis and model calculation were used to comprehensively determine the inter-well connectivity in X Oilfield. Finally, based on an inter-well connectivity analysis using multi-source data, production optimization plans for X Oilfield were designed and optimized using a numerical reservoir simulation. The results show that wells C2058 and C2069 are well connected, and the inter-well multi-layer connectivity model and the inter-well connectivity analysis based on multi-source data are highly accurate. Increasing liquid production, fracturing, and cyclic water injection was recommended as the best production optimization plan, and it was predicted that within 10 years, the cumulative oil increase and net present value could reach 5.37×104 m3 and CNY 0.7×108, respectively. This study not only provides a reference for the analysis of inter-well connectivity and production optimization in similar oilfields but also has significant implications for improving the efficiency of oil recovery and alleviating production pressure in oilfields.