Abstract: In this paper, the construction of the mathematic models, membership function and the FUZZY matrix for a formation evaluation in the digital processing of well logging data are demonstrated. The study of FUZZY operat ors and an analysis of their effectiveness is emphasized. W type operators and ∑,∏ types FUZZY factors and productivity equations for different geological conditions are also suggessed in this paper.The programs given by the author, as expressed in this paper, can give as comprehensive evaluation of the oil-bearing formation and its geological parameters, anii can give the productivity (t./d.),the type of the reservoir formation, locate the high productive formation and the degree of credit of such an evaluation, as well. All these will give bases for decision making. These results have been applied in the digital processing of well logging data interpretation in Nanhai, Dongpu, Liaohe, oil field ets, and good results are obtained. Thus the designed process provides a new technique for the interpretation of a complex hydrocarbon bearing formation and the current technique of data processing of the logging data will be advanced to a new level.

摘要： 本文应用模糊数学的原理,论述了在测井资料数字处理中模糊综合评价的数学模型,隶属度函数及模蝴矩阵的建立方法,着重研究了模糊算子和它的效果分析。文中提出了w型算子和 ∑ 型∏模糊因子,提出了适用于不同地质情况的产能公式.用已经设计入库的处理程序,不但能综合评价出油气层及各种地质参数,还能给出产量(t/dl)指出产层的类型,寻找高产油气层位,以及综合评价的可信程度,为决策人员提供依据。这些研究成果用于南海,东濮,辽河,大港等油田的测井资料处理,效果较好。它不但把目前的测井资料数字处理的解释水平向前推进了一步,而且为义杂的疑难油气层的解释,提供了一种新的方法。