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The Esearch Of Puguang Gas Field Well Test Data Evaluation And Capacity Change Regular Pattern

Posted on:2018-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:M D XuFull Text:PDF
GTID:2321330518956964Subject:Mineralogy of ore deposits, petrology
Abstract/Summary:PDF Full Text Request
The area of Puguang gas field exploitation of 1118 square kilometers,the amount of resources for the 891 billion 600 million Party,is the largest and highest yield large marine in China has been put into operation in uncompartmentalized gas fields,is the source of East Sichuan gas project countries,"11th Five-Year" is listed as the national key construction projects.Puguang gas field is located in Puguang Town,Dazhou County,Sichuan,Xuanhan province.It is the largest and most abundant carbonate marine gas field in eastern Sichuan Province,which relieves the gas tension in China Condition.Its high sulfur content makes downhole instruments easy to corrode and damage,and also makes many pressure testing work difficult.Because downhole pressure measurement is difficult,the key to many work is to adopt what kind of test method is more reliable.According to the relevant literature at home and abroad and the results of field research,there are many researches on its special situation.Puguang gas field is divided into current production is the main part of the 37 wells,10 wells Maoba Dawan,4 wells.In this paper the bottom pressure data collection and wellhead pressure data for two wells to analyze,through the evaluation of relevant test data quality to evaluate the accuracy of the test data,the shut in pressure recovery during data interpretation,the measured skin factor,reservoir formation parameters and boundary conditions,combined with regional production the historical data and the data with the production capacity of formation changes in the Puguang gas field testing capacity change trend analysis and forecasting.The research project is the goal of this project through research,to evaluate the different types of test data quality,to analyze relevant test data in fine interpretation and comparison,using a point deliverability formula(1)analysis and reliability for test data;(2)fine interpretation of relevant test data;(3)the impact of changes in data capacity.In view of the problem of high sulfur content in coal mine,a great deal of research has been done on production logging in china.In 2006 to carry out the construction of large scale test,through constant practice,has made a lot of field application experience,so as to improve the level of development of pilot test technique,has formed a set of Northeast Sichuan high sulfur gas well test matching technology.The production test statistics,including a total of 31 wells in Maoba Dawan,of a total of 45 production logging report.Through the analysis and comparison of the production process,the accuracy of the data is obtained.The bottomhole pressure can not be directly obtained,combined with the Puguang gas field with high sulfur and high side water intrusion impact,according to the high sulfur content,formed a set of Northeast Sichuan high sulfur gas well test matching technology.Research method of formation pressure is determined by several related,the bottom pressure data comparison of actual production data and the method of using a variety of different,and concluded that the manometric method is suitable for the actual production of the Puguang gas field.Because the control area of each well,using weighted model different control area of the wells are discussed,according to the relationship between the changes of regional spatial distribution and control range and various wells pressure with time,were analyzed by different variation of vertical and inclined well,comparative analysis of influence factors of the low position of high position the pressure drop of contrast,under different production wells,the change trend of the regional capacity and pressure,pressure distribution and pressure drop with the change to make regional production,guiding the regional overall planning of mining.
Keywords/Search Tags:test data evaluation, well test data interpretation, productivity prediction
PDF Full Text Request
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