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Analysis Of Rock Physics Characteristics Of Typical Reservoir And Applied Research

Posted on:2014-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:L L ZhangFull Text:PDF
GTID:2180330452962819Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Rock Physics establishes a link between the elastic properties and the reservoirproperties. AVO forward modeling based on rock physics establishes a link between theparameters of rock physics (the ratio of P wave velocity and S wave velocity, Poissom’s ratio)and AVO response, reduces the multiplicity of AVO analysis and fluid identification. In thepaper, we discuss the basic theory of rock physics, carrying out the studies of S-wave velocityestimate method, rock physics template analysis, rock physics parameters sensitivity analysis,AVO forward modeling based on rock physics, etc.S-wave velocity, an important geophysical parameter, plays an important role inpre-stack seismic reservoir elastic parameter inversion and fluid detection which developed inrecent years. In this dissertation, the author researches the method in two ways: empiricalmethod and theory model. The method of empirical formula which estimate the S-wavevelocity in wells choose the multiple linear regression model, using stepwise regressionmethod to select log data, considering of the lithology and fluid classification. Decision treemethod and SOM neural network can be used to get classification data. The method of theorymodel choose the xu-white model and critical porosity pride model, using very fast simulatedannealing algorithm to modify the experience modulus parameters which are necessary for themodel, based on the P-wave velocity. The study of S-wave velocity estimation lays technicalfoundation for further research of reservoir prediction and fluid discrimination.As seismic signatures and directly governed by these elastic parameters, rock physicstemplate provides a methodology to infer the geology of the reservoir, both qualitatively andquantitatively from these signatures. We get P and S wave velocities and density through the S-wave estimate method put forward in this dissertation, using crossplot technique tocalculate the coefficient of fluid identification, thus determine the fluid attributes forcrossplotting and build rock physics template. Finally, we build AVO forward model, analyzeAVO effects of different fluids, with the forward modeling analysis of fluid substitution on thebasis of rock physics template analysis and fluid detection, establish corresponding detectionsigns, which are useful for oil gas and lithology discrimination from the actual seismicrecords directly.Through studying certain actual work area, S-wave velocity estimation results above areseparately applied to rock physics template analysis and elastic impedance inversion detection.Pre-stack seismic inversion can be performed by using pre-stack gather, so it has high fidelityand much information. Then P-wave impedance data and S-wave impedance data derivedfrom the above inversion can be used to obtain the rockphysics parameters reflecting thecharacteristics of lithology and fluid by further calculation, and help us describe theunderground reservoir more accurately.
Keywords/Search Tags:S-wave velocity estimation, Rock physics template, AVO forward modeling, Prestack AVA simultameous inversion
PDF Full Text Request
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