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A Study On SH-Xushen Gas Field About The Prediction Technology Of Wellbore Fracture Three-Dimensional Continuation

Posted on:2018-10-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q WangFull Text:PDF
GTID:2321330512997342Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
The location of Xushen gas field tectonic position is on the Shengping-Xingcheng tectonic zone in the Xujiaweizi fault depression of deep tectonic units in northern Songliao basin.Double formation mechanism with volcanic activities and tectonic movement.The zone has developed substantial oil and gas reservoir rock types,has good development prospects.The characteristic of volcanic rock reservoirs in Xushen gas field is buried depth,low porosity low permeability and serious heterogeneity,etc.The type of hole and seam is mainly combination with air pore,dissolution pore,fracture and air pore,fracture.Due to the pomples natural fracture distribution and ground stress changes,the existing methods which base on the tectonic stress field,the nonlinear theory and seismic are limited to get the density distribution and the high density area of fracture closed to the wells.Additionally,the early stage of gas reservoir development well pattern density is low,uneven distribution,not easy to analyze fracture density around wellbore,and the reservoir fracture characterization is limited within the scope of well control.This brings some difficulties for cognition of the distribution of natural fracture and the present ground stress field.Such cases,need to develop new technology urgently,comprehensive utilize various field comprehensively,predict reservoir fractures with multiple methods,and to guide the oil and gas field development.This article bases on the theory of rock mechanics,structural mechanics and related fracture plane,to conduct the space continuation of fractures on the wall of wells.,through the block collection of basic data and logging data,and combination of the technique of borehole wall crack space continuation to establish the intelligent neural network model,and application of logging data combining with shaft wall fracture identification and statistical analysis Finally,get the wall crack density area distribution,the distribution regularity of stress field.
Keywords/Search Tags:Reservoir fracture identification, Wellbore fracture space continuation, Neural network fracture, The high density area, The stess field analysis
PDF Full Text Request
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