基于反距离加权插值法的产量劈分新方法

New method for production cleavage by inverse distance weighted interpolation

王立 喻高明 傅宣豪 罗晓芳 何桂平

长江大学石油工程学院，湖北 武汉 430100 中国石油玉门油田分公司勘探开发研究院，甘肃 酒泉 735200 中国石油长庆油田分公司第一采油厂，陕西 延安 716000

College of Petroleum Engineering, Yangtze University, Wuhan 430100, China Research Institute of Exploration ＆ Development, Yumen Oilfield Company, PetroChina, Jiuquan 735200, China No.1 Oil Production Plant, Changqing Oilfield Company, PetroChina, Yan′an 716000, China

多层油藏开发实践表明，准确的产量劈分是实施油田开发增产措施和提高最终采收率的关键。常规的产量劈分方法在多层油藏产量劈分实际应用中存在诸多局限性，已难以解决多层油藏产量劈分问题。为更好地提高多层油藏产量劈分结果的精度，在常规产量劈分方法分析的基础上，基于反距离加权插值法，建立一种新的产量劈分预测模型，并运用遗传学算法，将不确定的因素整体优化求解，进而进行多层油藏产量劈分。该方法应用于M油田X区块产量劈分，与常规方法相比，其计算结果较实测值偏差7.4%，与实际情况吻合度高，优势明显，能够较好解决多层油藏产量劈分问题，为实际油藏剩余油挖潜、提高采收率提供了重要数据。

The meticulous development of multi-layer reservoirs practice shows that accurate production cleavage is the key to implementing oilfield development stimulation measures and increasing ultimate recovery ratio. The conventional production cleavage method has many limitations in practical application of production cleavage for multi-layer reservoirs, and it is difficult to solve the problem. In order to better improve the accuracy of the cleavage results of multi-layer reservoir, based on the analysis of conventional method to cleave production, using mathematical processing by inverse distance weighted interpolation, a new prediction model of production cleavage is established, and Genetic Algorithm(GA) is used to achieve the changing and uncertain factors in the overall optimization solution. The new method is applied to the production splitting of X Block of a certain M reservoir in the middle oilfield. Compared with the conventional method, the calculation result deviation is within 7.4%, which shows better agreement with the actual situation and obvious advantage. This method can better solve the multi-layer reservoir problem of production cleavage and provides important data for tapping remaining oil potential in actual reservoirs and improve oil recovery.

10.6056/dkyqt201805015