锦州南油田进潜山模型认识和实践

The Recognition and Practice of Buried Hill Models in Jinzhou South Oilfield

摘要: 渤海湾盆地锦州南油田发育太古界潜山油藏，潜山顶部裂缝发育，准确高效地识别潜山界面是实现油藏开发目的、降低工程作业风险和成本的关键因素。常规潜山界面识别方法是根据工程参数异常变化进行地质循环，落实井底岩性，以确定是否进潜山，但工程参数存在多解性，往往要多次循环才能准确识别潜山界面，导致作业周期长、风险大和成本高等问题。在前人研究的基础上，通过对锦州南油田太古界潜山整体研究分析，总结出了4类进潜山模型，并从构造、岩性、工程参数、测井4个方面分析了其特征，先钻前分析作业井位的构造特征，初步判断进潜山模型类型，再根据该进潜山模型下的工程参数特征进行地质循环，最终以典型岩性确定是否进潜山。基于4类进潜山模型识别潜山界面的思路在锦州南区块得到成功应用，卡山成功率达100%，循环次数由平均5次降低到2次，具有较好的推广应用前景。

Abstract: In Jinzhou South Oilfield of Bohai Bay Basin, there were developed Archean buried hill reservoir, and fractures on the top of buried hill, to identify the buried hill interface accurately and efficiently was the key factor to achieve the purpose of reservoir development, reduce the risk and cost of engineering operations. The conventional recognition method of buried hill interface was based on abnormal changes of engineering parameters for geological circulation, the bottom hole lithology was obtained to determine whether the buried hill should be entered. However, the engineering parameters were multi-solvable, and they often take many cycles for identifying the buried hill interface accurately, which caused the long interval, risk and high cost of the operation; Based on the predecessors’ studies, through the study and analysis of the Archean buried hill in Jinzhou South Oilfield, four types of buried hill models were summarized, and their characters were analyzed from the aspects of tectonics, lithology, engineering parameters and logging. The structural characteristics of the well-location are analyzed before the drilling to determine the type of the buried hill model, and then according to the engineering parameters of the buried hill model to perform a geological cycle. Eventually based on the typical lithology to determine whether enter the buried hill or not; the idea of four types of buried hill models are successfully applied in Jinzhou South block, the success rate of catching hill is 100 percent, the number of circulation is reduced from 5 times to 2 times on average, and the prospect of popularization and application is better.