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Carbonate gas reservoirs in seismic parameters of thin synthetic prediction


Classification of justice set up a total of a linear seismic trace, seismic extracted the door of each characteristic,[link widoczny dla zalogowanych], each feature recorded for the generalized linear discriminant function using the characteristic parameters of zero and a linear combination of items in the form: g (xf) = CO. + Coax1f + CO22j + people + cof where, (oj (= 0,[link widoczny dla zalogowanych],1,2,[link widoczny dla zalogowanych], people) weights for each item. Discriminant function g) can be expressed as: g () = Σ = a type,[link widoczny dla zalogowanych], representing the matrix transpose. Has 111 known types of samples <m,, ..., e), g (set) is the desired discriminant function, then for a known sample of I12, there is: g () = W = W = gi = 1,2, A,) we look forward to classes I and II samples in the discriminant hyperplane class of samples on both sides, that have different symbols, so that: gi1-1 samples of f is II class is required to calculate the various samples discriminant function values and expectations of the g value and the minimum squared error, even if: Σ (ga Σwj) 1nini = 1j = 0 calculated in this way can be used to determine the unknown sample after the class, so as to achieve the purpose of classification, discriminant function value greater than 0,} j shell as I type, on the contrary, discriminant function value is less than 0, for the II class. Generalized linear classifier method is generally applicable to identify the well comprehensive regional and hydrocarbon reservoir prediction. The practical application of research shows that prediction in a multi-well region better. 3 examples of a structure in Sichuan Jialing Group II Jia is a typical gas reservoir thin carbonate reservoir gas reservoir, the main lithology is dolomite, carbonate particles , the vertical thickness of the thin reservoir, reservoir thickness generally more effective 1 to 3 meters thick, forecasting difficult. Seismic velocity inversion was done using many rounds of prediction, but the end result of formation with no significant differences in characteristics and the reservoir is too thin and other factors, the effect is not ideal. After testing, the use of integrated seismic parameters of the law can solve the thin reservoir area forecast gas problems, and achieved good results. Figure 1. Figure, the curve for the structural contour lines, the left oblique line area is filled with comprehensive method to predict seismic parameters rhyme gas range, black dot as well, dry well ring hollow park. Figure 1 Construction of a Ka b Sichuan earthquake parameter synthesis gas forecast maps from the comprehensive prediction, we can see in Figure 1, the predicted range of the main gas line in the construction of a 1100m range of traps were constructed along the axis and the other favorable structural high distribution of the construction site, and the packaged gas exploration and development of reality is consistent. Construction has been shown from the drilling, testing, logging analysis, test production capacity by 1 × 104m3 / d has been regarded as gas; the other hand, the test capacity is less than 1 × 10IIl3 / d the following micro- wells or dry wells counted, the structure Jialing Group II ~ Ka Ka thin reservoir prediction of a 95.5% compliance rate. Synthesis method using seismic parameters that predict better. Conclusion seismic information is both comprehensive variety of mathematical and physical parameters, but also a comprehensive reflection of the reservoir or gas reservoir, reservoir prediction of any single parameter and multiple solutions have limitations of, and to bring greater exploration risk. Especially thin carbonate reservoir, the thin layer interference and poor imaging, inversion, or seismic velocity using a single parameter is often not effective, but with the information decomposition, weighted prediction can be integrated better thin carbonate reservoir description layer the distribution of gas. The parameters used in this article is not comprehensive prediction parameters of a simple screening, a comprehensive analysis of artificial or superimposed , but rather with the actual drilling, using procedures and scientific methods to reflect the weighted composite as a gas reservoir parameters. Develop a thin carbonate reservoir prediction of new thinking and new methods and techniques, the depth in the reservoir to obtain better prediction of new developments and important results. Knowledge and information technology applications in the oil and gas exploration Abstract: The rapid development of the oil industry to make more in-depth oil and gas exploration and development technologies, a considerable amount of information, the existing processing technology and information technology can not meet the current needs of oil and gas exploration. This article of the oil and gas exploration and knowledge economy, knowledge economy and the relationship between information technology and role of knowledge and information described in the extensive application of oil and gas exploration , exploration information will effectively address the scalability, exchangeable, security, and other complex technical requirements, making the oil and gas exploration more open, sharing, comprehensive and fast. Key words: oil and gas exploration, knowledge economy, information technology introduction with the \ increasingly widespread, the knowledge-based trend is more pronounced. 's economic development, promote the consumption of oil and natural gas increased dramatically, now accounts for 60.3% of the energy mix around.' oil and gas exploration and development costs 900 million US dollars / years, a large number of human and material resources for
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