| In the oil reservoir exploration of fault sag basin,the glutenite body in steep slope zone has great potential for reservoir formation.JX sag is a inheritance sag.The sedimentary facies of steep belt is dominated by fan delta facies.The provenance of the conglomerate body is from Ningjin uplift.It is formed by repeated superimposition of multi period alluvial and colluvial conglomerate bodies in Paleogene.FM oilfield is located in Tarim large igneous province,which has favorable oil and gas accumulation background.At present,many deep wells have been successfully drilled.There are a large set of igneous rock formations in the Permian in the study area.The lithology shows different characteristics in seismic and geological data.Due to different development stages,the facies belt distribution characteristics are also different,which is of high research value.The characteristics of glutenite and igneous rock are different from that of surrounding rock.Firstly,the first two chapters of the thesis summarize the research status of various technologies of glutenite and igneous rock and the research status of lithologic identification of igneous rock.The following studies have been conducted on the JX work area secondly:(1)using geological and seismic data to classify the strata in the JX work area;(2)Extracting seismic facies and 8 seismic attributes of T5＿T5+40ms interval through seismic phase and seismic attribute analysis techniques,combined with the tectonics background of JX area,identified the distribution pattern of glutenite in steep slope zone.(3)I have developed a simple tool that can quickly classify and fuse seismic attributes based on K-Means,and applied it to the fusion of JX sandstone seismic attributes,analyzing the differences between before and after attribute fusion.The following research has been done for JX work area at last:(1)Firstly,i have a general understanding of the lithology and distribution of igneous rock in FM work area according to the collected geological data,seismic data,logging data,thin sections and other information in the work area.The igneous rock development in the work area is mainly divided into three stages,with the first stage tuff,the second stage basalt and andesite,and the third stage dacite igneous rock with multiple lithology developed from bottom to top.Observing the reflection characteristics of three periods of seismic data on seismic profiles,the three periods are mainly manifested as blank phase zones,chaotic phase zones,and parallel phase zones;(2)Extracting seismic facies of TT-50ms＿TT+50ms,TP-100ms＿TP-60 ms,TT＿TT+70ms intervals by using seismic phase analysis technology;and the facies belt characteristics and igneous rock distribution characteristics of different intervals are analyzed,providing a basis for subsequent seismic attribute research;(3)In combination with seismic attribute analysis technology,a variety of seismic attributes that are sensitive to igneous rock are extracted to optimize the root mean square amplitude,arc length,average energy and other attributes,analyze the seismic attribute characteristics of different regions and the phase zone division of different lithology,use seismic attribute fusion technology to fuse the optimized attributes,compare the fused attributes with the original attributes,and deepen the understanding of the three phase zones in combination with the fused attribute plane,and provide a basis for the selection of subsequent inversion regions;(4)Using the curve reconstruction technology based on db5 wavelet packet transform,the original acoustic time difference curves(AC)of wells f102 and y52 were reconstructed with features.The reconstruction errors were analyzed,and the reconstructed curve results were incorporated into constrained sparse pulse inversion(CSSI).The inversion velocity volume results before and after reconstruction were compared.In the chaotic phase zone,the maximum absolute error value was 3.26%,and the minimum error was0.71%;(5)The geostatistics inversion study was carried out on the Permian igneous rock interval in the target area of FM work area,and the maximum likelihood probability volume and wave resistance antibody distribution of tuff,basalt and dacite in the inversion area were obtained.Several wells were selected in the area for inversion speed analysis,and the lithologic characteristics of the transition area from the blank phase belt to the parallel phase belt in the work area were accurately recognized.This paper studies logging curve reconstruction,machine learning and seismic attributes,seismic facies identification and recognition,and comparison of CSSI and geostatistics inversion methods.The research shows that starting from geological slices,guided by the fusion method of seismic facies and seismic attributes,GR and SP curve reconstruction are comprehensively used to effectively depict lithologic changes on the basis of constrained sparse pulse inversion,The accuracy of igneous rock lithology identification is improved by geostatistics inversion. |
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