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煤田测井原始资料质量的高低直接关系到测井资料解释结果的可靠程度。因此,如何准确地、合理地评定煤田测井原始资料的质量是测井资料解释工作中重要环节之一。煤田测井规范(以下简称规范)对测井原始资料质量评定等级作了较详细的规定。本文根据规范的规定及工作中的经验提出用模糊综合评判方法对煤田测井原始资料质量进行评定。这种评定方法,可以综合考虑影响测井原始资料质量的各种因素,并将其影响程度和人们的经验赋予数据,尽可能地减少人为影响因素,使资料质量评定数据化、科学化,使评定结果更加准确、合理。
The quality of the original data of coalfield logging is directly related to the reliability of interpretation of the logging data. Therefore, how to accurately and reasonably assess the quality of logging data in coalfields is one of the most important aspects of logging data interpretation. Coal Well Logging Specifications (hereinafter referred to as the standard) on the logging data quality assessment level made more detailed provisions. Based on the norms and work experience, this paper proposes fuzzy comprehensive evaluation method to evaluate the quality of logging data in coalfields. This assessment method can comprehensively consider the various factors that affect the quality of original logging data and give data on the extent of their impact and people’s experience, reduce human factors as much as possible, and make the data quality assessment be dataized and scientifically enabled Assessment results more accurate and reasonable.