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在测井解释中电子计算机的引用,给测井分析家提供了更多的储集层特性参数,并更好地评价储集层的含油气性。随着数字处理技术的发展,人们要求计算机能综合各种参数对储集层的油气评价作出结论,并希望评价分级细、结论定量化。但是,由于储集层性质的复杂化,对储集层的含油气性不可能作出十分精确的评价。另外,计算机程序的刻板化与评价储集层时应有的灵活性这二者的矛盾显然也难以解决。这就是说,一个系统的复杂性增大时,我们使它准确的能力就降低。事物的复杂性和认识它的模糊性是相伴随的。那么,人是如何判别这些复杂事物的呢?从逻辑推理可以发现,如果我们不是采用绝对的“0”和“1”二值逻辑,而是采用判别一个对象对某个概念的隶属程度,然后采取择优原则及聚类分析、综合评价等方法,挑选隶属程度高的,筛去隶属程度低的对象,那么运用这种模糊逻辑(连续多值逻辑)就可以充分利用精度有限的数据所提供的信息,获得最为符合客观实际的结论。为此,在应用电子计算机进行储集层油气评价时,需要寻找一种新的数学方法,它能吸取人脑对于复杂系统进行识别和判决的特点,提高电子计算机的灵活性和自动化的程度,在复杂的情况下得出两点估计的、有一定精度的储集层油气评价。1965年,美国学者查德(L.A.Zadeh)发表了一篇“模糊集合”的论文,提出模糊集合的概念和方法。近年来,模糊集合理论有了很大的发展,引起了控制论、图像识别、计算机等科学工作者的极大关注。他们试用该方法处理问题并取得了一些可喜的进展。本文是在应用模糊数学方法研究储集层油气评价方面做了初步尝试,并给出一些结果。
References to computerized computers in logging interpretation provide logging analysts with more reservoir-quality parameters and better evaluation of hydrocarbon-bearing reservoirs. With the development of digital processing technology, people are required to make a conclusion that the computer can synthesize various parameters to evaluate oil and gas in the reservoir, and hope that the evaluation will be fine and the conclusion will be quantified. However, because of the complexity of reservoir properties, it is impossible to make a very accurate assessment of the hydrocarbon-bearing properties of the reservoir. In addition, the contradiction between the rigidities of computer programs and the flexibility that should be accorded to reservoirs is clearly hard to solve. This means that as we increase the complexity of a system, our ability to make it accurate decreases. The complexity of things and the vagueness of knowing it are companions. So, how do people judge these complex things? From logical reasoning, we can find that if we do not adopt the absolute “0” and “1” binary logic, we use the method of judging the degree of subordination of an object to a concept and then Take the principle of selection and clustering analysis, comprehensive evaluation and other methods to select the high degree of membership, to screen the object to a low degree of membership, then the use of such fuzzy logic (continuous multi-valued logic) can take full advantage of the limited accuracy of the data provided Information, get the most in line with the objective reality of the conclusion. Therefore, when using computer to evaluate oil and gas in the reservoir, it is necessary to find a new mathematical method which can draw the human brain’s characteristics of recognizing and judging complex systems and improve the flexibility and automation of the computer. In complex cases, two estimates of oil and gas reservoirs with certain accuracy are obtained. In 1965, the American scholar L.A. Zadeh published an article entitled “Fuzzy Sets” and put forward the concept and method of fuzzy sets. In recent years, the theory of fuzzy sets has been greatly developed, causing great concern to scientists such as cybernetics, image recognition and computer. They tried the method to deal with the problem and made some welcome progress. This paper is a preliminary attempt to study the evaluation of reservoir oil and gas using fuzzy mathematics method, and gives some results.