Study On The Method Of Dip-Angle Pattern Discrimination

In the early stage of sedimentary tectonic geological research,through the dip angle logging data,in recent years,with the development of technology,it is possible to use electrical imaging logging data to extract formation occurrence and conduct geological application research such as sedimentary structure.The dip vector mode is the basic form of the sedimentary structure.However,most of the interpreters currently judge the dip vector,or manually,which takes a long time.Researchers have little research on computer automation,so this article For the dip vector pattern,automatic recognition research has important practical significance.The main research work and its creativity in this paper are reflected in the following aspects:(1)In the study of the automatic vector recognition of the dip vector pattern,the paper first inputs the dip and azimuth data,preprocesses it,and passes the median filtering method to remove the influence of noise and non-noise factors.In terms of the calculation of the mean and variance of the angle,due to the conventional calculation method,it can not be satisfied.In this paper,Mardia & Jupp proposed the unit vector method of the transformation point on the circle,and processed it,and verified the feasibility of the method.(2)In the process of recognizing the dip vector diagram,this paper first divides it into several layer modes,which are based on the activity layering method and the extreme value variance clustering layering method,based on the understanding of its principle.For the dip angle data,realize the stratification,consider the dip curve and the azimuth curve,and then combine the two processing results to find the demarcation point.By analyzing the principle of activity stratification,the disorder mode can be well discriminated,but the hierarchical interface is not accurate,and the principle of extreme variance clustering method is relatively rigorous.The hierarchical interface is relatively reasonable,but it is difficult to distinguish.The chaotic mode is out,so this paper proposes a hierarchical layering method using the activity layering method,the coarse layering and the extreme value variance clustering method.(3)In the study of the variation law of the basic mode of the dip vector diagram,it is found that the other three basic modes can be discriminated by using the slope of the dip angle on the premise of discriminating the chaotic mode.Through the least squares straight line fitting,the slope is obtained,and the fuzzy pattern recognition method is combined with the fuzzy function recognition method to establish the membership function to realize the discrimination of the three modes of red,green and blue,and to determine the basic mode and the depth section.induction.(4)The algorithm of this paper is programmed in the VC++ development platform,and the above modules are attached to the CIFLOG logging interpretation platform to process the actual imaging logging data and obtain better application results.