Technology Of Seismic Geometric Attributes For Fault Identification And Its Application

With further development of Petroleum Exploration and Development, the target of oil and gas become more and more sophisticated, fault distribution and pattern take more and more important effort in reservoir identification and description. Through the efforts of the past few decades, we have already identified larger faults depending on 3D seismic exploration technique. Especially with application of coherent technique, the accurate of fault describing have improved greatly. Nevertheless, it still has greater distance to geologist's target. Therefore, researching on fault systematically, especially low preface class fault identification technique, have very important theoretical meaning and practical value.Seismic attributes are defined as special measurement derived from seismic data which contain an amount of informations about kinematics, dynamics and statistics. Seismic attributes can be divided into geometrical attributes and physical attributes. Geometrical attributes usually relate to seismic horizon's geometric shapes (like dip, azimuth and curvature, etc.), which are effect to describe geologic configuration, hierarchy and fault system. Physical attributes consist of kinematic and dynamic attributes, included amplitude, waveform, frequency, velocity and attenuation, are mainly used in reservoir lithological change. This paper aims to trace developing situation about seismic geometrical attributes and fault identification technique at home and abroad, compile related algorithm, combine with actual application in Huimin Depression of Jiang Jiadian, compare and analyze the results, and form a set of practical techniques of fault identification.This article consists of seven sections. Firstly, we introduce the technology of seismic geometric attribute for fault identification detailedly at home and abroad. Secondly we study the coherence, texture,curvature attribute and tricolor display technology of RGB to identify fault; In the part of coherence,we compare the traditional algorithms with model and actual data,mainly study the geometric structural tensor and wavelet multi-scale sub-frequency coherent algorithm; In the part of texture attribute, we introduce texture energy, texture contrast, texture entropy and texture homogeneity attribute.By merging texture attributes of different directions,the effect are more clear; In the part of curvature attribute,we study and analyze fractional-order curvature attribute's extraction and its application in fault identification; The RGB display technology mainly introduces how to merge multi-attributes in order to getting more richer and more clearer information. In the base of these we develop SeisFault software which based on .Net platform. Finally, we list some value results.