Research And Application Of Fine Seismic Reservoir Prediction Technology For Shallow Channel Sand Body

Channel sand body is an important reservoir,which was formed in the transport and deposition of early rivers,characterized by single thickness,small sand volume and fast lateral change.It is difficult to identify by conventional methods.How to accurately and efficiently identify the channel sand body is very important for improving the success rate of exploration.The channel sand body recognition technology is a collection of techniques and methods,after years of summary and improvement,has formed a relatively complete system of technology,including the fine stratigraphic work as the main reservoir cap combination analysis and interpretation technology oil based background analysis,the seismic coherence analysis and comprehensive evaluation of the oil and gas the sand body of earthquake prediction mainly fine trap characterization and spectrum analysis technology and hydrocarbon accumulation conditions mainly by fault activity analysis and fine structure,have been successfully applied in Ji yang depression area.At the same time,with the development of technology,more and more new technologies and theories have been applied to the recognition of channel sand bodies,including forward modeling,pattern recognition,neural network and so on.To carry out these techniques and methods are all around the two core problems in the identification of channel sand body,first is the fine description of channel sand body space form and distribution,including the two core elements of thickness and boundary;the second is the analysis of oil-bearing sand bodies,in order to predict oil and gas exploration in the region advantageous area.The research area of this paper is located in the Ji yang fan depression of Bohai Bay.It is a positive structure between Dong ying sag and Hui min Sag,with an area of about 650km~2.The area is developed by Paleogene Kong dian formation,Neogene and Quaternary.The reservoirs discovered in the study area are mainly distributed in Kong dian Formation and Guan tao formation.There are many types of oil and gas reservoirs,such as structural lithology,lithology and stratigraphy,which are mainly structural lithologic reservoirs.The purpose of this paper is located in Guan tao horizon group,in the depth of 1000 meters to 1100 meters,is a typical meandering river flood plain deposit,according to the geological statistics known wells,Guan tao sandstone thickness of single sand body mainly in the 1-5 meters of the thin sand body,lateral variation,covert distribution.Based on the above characteristics of sand bodies,the first foundation has done a lot of work,including the analysis of the seismic characteristics of rock,seismic forward modeling and a large number of geological statistics,the lithology combination layer,logging response characteristics and sand body earthquake,provide guidance for later work.Aiming at the problem space fine description of channel sand bodies,using seismic frequency technology and combined application of stratal slicing technique,determine the size and migration channel,using attribute selection and improvement of clear river boundary,using multiple attribute fitting for channel sand body thickness.In view of the high frequency data characteristics of shallow channel sand bodies,this paper proposes a method to improve the accuracy of spatial characterization of channel sand using single track seismic amplitude curvature attribute technology.The method of waveform indication inversion is used to clarify the spatial distribution law of single sand body.At last,the oil and gas characteristics of channel sand body are explored by using the frequency division energy ratio technique based on S transform.The above method,this paper formed a fine seismic reservoir for Lin fan jia area of Guan tao group of channel sand body prediction technology system,established in the seismic frequency,strata slice,multi attribute fitting seismic fine description technology series,a method based on single channel seismic amplitude curvature attribute technique to improve the accuracy of sand body description.The prediction of the favorable target in the target layer of the region was completed.