Identification And Evaluation Of Anisotropic Strata Based On Well Logging Data

People tend to ignore the anisotropy of formation, and result the anisotropic formation as isotropic formations, making the identification of formation and water oil saturation calculation etc a deviation by in the conventional logging interpretation and evaluation process. This article studies based on logging data of anisotropic formation identification and evaluation. The calculation of formation anisotropy coefficient is mainly based on electric imaging logging data. Imaging logging data is large and the resolution is high, and the data can reflect the information change of borehole surface. The application of formation anisotropy is mainly based on conventional logging data.Formation anisotropy is mainly used to identify the anisotropic formation, and to restore the true resistivity of the formation. In this paper, conventional logging data and micro-resistivity imaging log research combining formation anisotropy.Firstly, the logging data is preprocessed. This article mainly discussed the corresponding preprocessing of electrical image logging data, mainly including acceleration correction, geometric correction, electric button depth alignment, and through the EGPS logging data processing software of electric imaging logging data correction. This paper focuses on the preprocessing of the filter processing method, and determine the electrical imaging logging data for median filtering. After filtering, the electric imaging logging data and conventional logging data are automatically corrected. There is a large range of errors in some depth of well logging data, the general automatic correction method cannot effectively realize the automatic correction of large offset. This is due to the general automatic calibration method based on the single scale automatic correction depth. This article focuses on log depth correction principle is proposed after double scale automatic calibration method. Two-scale automatic calibration method of deep process of large-scale automatic calibration to determine the range of deep, deep small-scale precision automatic calibration. Logging data in depth by two-scale automatic calibration method of deep automatic calibration.In this paper, the basic principles and characteristics of various methods for calculating the anisotropic coefficient of strata are studied. By comparing and analyzing various kinds of methods to calculate the variation of the curve of the formation anisotropy coefficient curve, it is found that the fluctuation of each curve has different characteristics. In this paper, we propose a method of combining the anisotropic coefficients, which can give consideration to the advantages of all kinds of methods. The preliminary calculated a single anisotropy coefficient curve through the suitable way to merge into a new anisotropic coefficient curve. Before the integration needs of each strip anisotropy coefficient curve normalized. In view of the need to standardize the anisotropic coefficient curve characteristics here mainly studies three principles and implementation process of standardization method. In the process of the anisotropic coefficient, the method of determining the weighted coefficient is particularly important. This paper discusses the various methods of determining the weighting coefficient characteristics and application environment. This article identifies the method for determining the weighting factor for the actual result of the anisotropic coefficient curve weighted.In the process of formation anisotropy of application, this article choose double layer conductivity model as the formation of anisotropic model. Through the forward calculation of electric double layer model, the double electrical layer model of inversion calculation is determined. The formation resistivity is reduced by the combination of the calculated formation anisotropy and the inversion calculation of the electric double layer model. It is more advantageous to the logging interpretation and the evaluation of the formation.At the same time, the related methods were realized by C# programming language and the algorithm were attached to EGPS software.