Font Size: a A A

Prediction And Inversion Of Deep Coal Reservoir Parameters

Posted on:2011-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:X W SangFull Text:PDF
GTID:2120360302492666Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
With the constant expansion of coal mining and the deep mining development , there are more and more problems is reflected , such as gas outburst, mine layout, the best of roadways, mining section, and so on.Our mission is to obtain scientificly the interpretation of reservoir parameters such as gas content, coal seam stress size, porosity, permeability, etc. It's great significant to use the relationship between the geophysical response of coal reservoir parameters and seismic data, well log data, further obtain overall situation overview and nuances from the seismic and well inversion above the mine reservoir parameters.The main purpose of this thesis is to study the prediction method of reservoir parameters,such as the current stress, porosity, permeability, coal, coal bed methane content;also we analyze the response relationship between reservoir parameters and well response. At the basement of the petro physical tests,we try to build the relationship between coal reservoir geological and geophysical parameters,with which we can achieve the purpose of quantitatively predicting the reservoir parameters.First, The thesis introduces the method of calculating stress,and do a brief introduction on the tectonic stress, the concepts of formation pressure,which is related to the stress.we also study how to use sonic logging establish normal compaction curves,with which we can calculate the abnormal formation pressure.Second, I make efforts to study the prediction method of porosity and permeability for coal .In the calculation of porosity, the main method is similar to that used in oil and gas well logging ,which is based on the three curves to predict. I also do my best to research on how to calculation porosity and permeability with dual lateral log data.Third, the analysis of response relationship between coal quality parameters and logging, seismic data has been studied. After that,we select the appropriate and rational relationship to do the forecast distribution of coal with seismic data.Fourth, I study several existing coal-bed methane calculation method and analysis coalbed methane and wells, seismic relationship.We achive that how to predict the content of coalbed methane with the logging implementation Prediction.In addition,based on the well log data and sesmic inversion data,we use Langmuir equation to do the gas surveying.we also do a comparison with other methods. By the Comprehensive analysis, We think that the method of Langmuir equation based on the seismic inversion data can better reflect the details of the deposition of coal,structure and coal-bed methane reservoirs,compared with the method that calculate the distribution of the whole coalbed methane based on limited single well.In this thesis work,lt mainly take advantage of the Huainan Mining Area 3-D seismic data and Hebei cities area 2-D seismic data and a number of export coal field logging data, while including some samples of coal core laboratory data. According to the research work ,it provide a theoretical method of support for the accurate calculation of the deep coal bed methane content, coal quality prediction analysis, porosity and permeability parameters, degree of development of crack, stress, horizontal seam changes, facies changes of coal seams.
Keywords/Search Tags:stress, porosity&permeability, coal analysis, coal bed methane
PDF Full Text Request
Related items