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Well Logging Evaluation Method Of Gas Fractured Reservoirs In Tight Sandstone

Posted on:2016-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y H XieFull Text:PDF
GTID:2180330464461946Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Nowadays the high porosity and permeability of the reservoir is less and less, and the exploitation of low porosity and permeability of the reservoir has become the focus of research With the oil and gas exploration and the impronement of technology, shale gas, sands tight gas now has become a probe focus mined. In the course of these two types of gas reservoir, the assessment and predict fracture is a top priority. For cracks, it is now generally to determine fracture development by imaging logging methods, because of cost reasons, imaging logging is not widely used in the field, the paper is committed to fracture prediction in tight sandstone gas reservoir on logging, using R/S fractal method with imaging scale conventional means technology to scale fracture development of different lithologies and rock mechanics parameters by different lithologies scale fracture development.Most of the conventional logging tools are basically characterized by the use of crack in response to a variety of curves, such as resistivity, sonic, etc. to identify cracks, are using log differences on values to be identified. However, the use of a single conventional logging data to predict fracture still has some limitations, it is not realistic to rely on a single imaging logging data to identify, and therefore we need to be more practical and effective way.As the research area, firstly using a sheet analysis of SH field two layers segment data to analyses the target zone rock in the paper, with the use of cross-plot method, fuzzy mathematics and neural network method to identify lithology. The compliance rate of cross-plot and identify neural network are above 80%, the use of cross-plot method templates can identify the area lithology accurately and quickly, and the sandstone region refined into lithic sandstone, lithic quartz sandstone and quartz three kinds of sandstone rock. On the basis of the different lithologies,we are from two different angles to predict fracture development respectively. First, the use of FM1 to scale response characteristics of the conventional logging crackto sum up the block cracks logging response characteristics; thus using the corresponding log fracture parameters calculated by the R/S fractal method to calculate corresponding to the value of the fractal dimension logs, which contrasted with the image logging data to varying degrees of fracture fractal dimension value ranges and the corresponding fracture parameters; the use of five FMI of 61 layers, core analysis information and conventional logging data use R/S fractal method for reservoir fracture development degree were divided, when fractures presents in the study area, the lithic quartz sandstone fractal dimension greater than 1.15, quartz sandstone and lithic sandstone fractal dimension greater than 1.1, the average compliance rate reached 73.6%; using dipole sonic imaging logging data to establish different lithologies aspect slowness model.which is to calculate the appropriate parameters of rock mechanics aspect slowness model parameter values and fracture mechanics parameters and then calculate the combination of different fracture development the scope of the standard rock mechanics parameter values, making full use of three wells of 56 dipole layers of data, core analysis data and conventional logging data to establish different lithological rock mechanics parameter template, and Young’s modulus is most applicable in the block,lithic quartz sandstone Young’s modulus of less than 31, litharenite Young’s modulus of less than 36 when cracks is in the presence of the study area.The average compliance rate reached 66.7 percent.
Keywords/Search Tags:tight sandstone, logging, crack, electrical imaging, R/S fractal, Young’s modulus
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