论文部分内容阅读
塔河油田奥陶系洞穴型储层是该区最重要的油气生产层段,对于洞穴型充填物性质和充填程度的判断是评价该类储层是否具有储集空间和有效性的关键.由于充填特征的复杂性,使得利用常规测井资料评价洞穴型储层充填特征仍然面临着巨大的困难.本文通过分析塔河油田洞穴型储层不同充填物、不同充填程度的洞穴在常规测井、成像测井的测井响应特征,结合钻井、录井等方面的响应,利用泥质含量(Vsh)-浅侧向电阻率(RS)交会图识别洞穴充填物性质,包括:未充填,机械沉积、重力崩塌堆积和化学沉积物.由于研究区以机械沉积充填为主,利用无铀伽马(Kth)对洞穴型储层充填程度进行定量计算,提出了适合研究区储层洞穴充填程度计算的相关公式,提高了洞穴型储层充填程度的测井评价精度.对塔河奥陶系洞穴型储层93层进行解释,其中洞穴充填物性质识别准确率为86%,洞穴充填程度表征的准确率为92%.
The Ordovician cave reservoir in Tahe Oilfield is the most important oil and gas production interval in this area, and the judgment of the nature and filling degree of cave fill is the key to evaluate whether this kind of reservoir has reservoir space and effectiveness. The complexity of filling features makes it difficult to evaluate the filling characteristics of cavern reservoirs using conventional logging data.Through analyzing the different types of caverns in Tahe oilfield caverns with different filling levels and different filling levels in conventional logging, Logging response features of imaging logs are used to identify the properties of cave fillings using Vsh - shallow cross resistivity (RS) cross-hatching maps in response to drilling, logging, etc., including unfilled, mechanically deposited , Gravitational collapse and chemical deposition.Because the study area is dominated by mechanical sedimentation and filling, the uranium-free gamma (Kth) is used to quantitatively calculate the filling degree of cavernous reservoirs, and the calculation of filling degree of caverns for reservoirs in the study area is proposed Correlation formula to improve the logging evaluation accuracy of cavern type filling.The interpretation of 93 layers of Ordovician cavern type reservoirs in Tahe shows that the accuracy of cavern filling property identification is 86% Point characterized filling degree of accuracy was 92%.