地球物理测井在地质领域应用经典案例解析

Analysis of typical applications of geophysical well logs in geological fields

通过解读蕴含在地球物理测井资料中的地质信息,可拓展测井曲线在地质学领域的应用范围。对几个测井资料在地质领域应用的经典案例进行了解析,以期更好地为油气勘探开发提供指导。案例解析表明:测井资料通过拾取单井构造产状及其组合特征变化,能用于指导侧钻井部署工作。测井资料还能运用至古水流方向拾取及双向物源供给识别工作中,并与地质认识相互佐证从而得到科学精细的解释结果。作为地质学家的“眼睛”,测井资料在识别与评价孔隙、洞穴和裂缝方面具明显优势,测井资料可用于油气层发现以及储量参数连续、精确计算。测井曲线中泥岩电阻率和声波时差与地应力耦合关系可间接用于超深层储层品质和油气产能预测。将地质、测井与地震资料结合,可用于油气圈闭刻画,并指导油气勘探开发工作。以上典型案例解析有助于地质人员更好地解读蕴含在测井曲线中的地质信息,并拓展地球物理测井资料应用领域与范围。

[Objective]To better interpret the geological information contained in geophysical logging data and expand the application scope of well logs in geology,[Methods]several typical cases of representative logging data are analyzed.This analysis seeks to enhance the use of well logs in geological research.Logging data can aid in the deployment of sidetracking wells by identifying tectonic occurrences and variations in their combination characteristics.Image log data also enable determintion of palaeocurrent directions and the identification of bidirectional provenance supply,thus providing refined and scientifically calibrated interpretations in alignment with geological understanding.[Results]Logging data,often regarded as the"eyes"of geologists,are advantageous for identifying and evaluating pores,caves,fractures,and other subsurface features.These data are crucial for discovering hydrocarbon reservoirs and facilitating the fine and continuous calculation of reserve parameters.The coupling relationships between mudstone resistivity,acoustic interval transit time,and in situ stress in logging curves can also be used to indirectly predict the quality of ultradeep reservoirs and hydrocarbon productivity.Moreover,combining geology,logging,and seismic activity allows for the delineation of hydrocarbon traps and supports oil and gas exploration and production.[Conclusion]The analysis of these typical cases assists geologists in better interpreting the geological information in logging curves and further broadens the application field and scope of geophysical logging data.