深水浊积砂岩油田含水变化规律精细预测方法

A Sophisticated Prediction Method for Water-cut Variation Patterns of Deep-water Turbidite Sandstone Oilfield

康博韬 杨莉 杨宝泉 张迎春 苑志旺

KANG Botao YANG Li YANG Baoquan ZHANG Yingchun YUAN Zhiwang

中海油研究总院有限责任公司, 北京 朝阳 100028

CNOOC Research Institute Co. Ltd., Chaoyang, Beijing 100028, China

受复杂储层特征影响，深水浊积砂岩油田单井动态规律预测难度大，实现单井含水变化规律的精细预测对目标油田而言具有重要意义。以西非尼日尔三角洲盆地Akpo油田为研究对象，根据该油田储层构型的研究成果，综合考虑沉积相、注采井间的砂体连通性及储层非均质性等影响因素，形成一套基于储层特征的生产井含水变化模式划分方法；并通过油藏工程与动态分析相结合的方法，建立一套基于储层特征的单井全周期含水变化规律预测方法；通过分析不同含水变化模式下生产井各阶段的主要矛盾，提出有针对性的优化调整策略；并进一步论证该方法在其他油田中的适用性。结果表明，（1）深水浊积砂岩油田储层构型复杂，储层特征是影响含水变化规律的关键因素；（2）深水浊积砂岩油田单井动态规律差异明显，生产决策必须有针对性；（3）所建立方法首次将深水浊积砂岩油田复杂的储层特征与多样化的单井生产动态规律结合起来，预测结果精度高；（4）研究思路与流程对深水浊积油田具有普遍的适用性。

Because of its complex reservoir characteristics, it is difficult to predict the single-well dynamic patterns of deep-water turbidite sandstone oilfields. Hence, realizing sophisticated prediction of single-well water-cut variation patterns is crucial. In this research, the Akpo Oilfield in the Niger Delta Basin of West Africa is studied. Its reservoir architecture and other influential factors such as sedimentary facies, sand body connectivity between injection wells, and reservoir heterogeneity are evaluated comprehensively to establish a method based on the reservoir characteristics for classifying the different modes of water-cut variation in production wells. By combining reservoir engineering and dynamic analysis, a prediction method for single-well full-cycle water-cut variation patterns based on reservoir characteristics is formulated. Through the analysis of the main contradictions at different stages of the production wells under various water-cut variation modes, targeted optimization and adjustment strategies are proposed. The applicability of the proposed method to other oilfields is also verified. The results show that:(1) the reservoir architecture of deep-water turbidite sandstone oilfields is complex and reservoir characteristics are the key factors affecting water-cut variations. (2) There are significant differences in the single-well dynamic patterns of deep-water turbidite sandstone oilfields. Thus, production decisions should be tailored to the specific field. (3) The proposed method is the first to integrate complex reservoir characteristics and diverse single-well dynamic patterns of deep-water turbidite sandstone oilfields, and it provides highly accurate predictions. (4) The research idea and flow are generally applicable to other deep-water turbidite oilfields.

10.11885/j.issn.1674-5086.2018.05.28.02