The Buried Hill In BaXian Depression Region Of Multi-attribute Prediction Of Crack

BaXian depression, which is located in the North of the Huabei plain,is the half graben rift that have Westward faulting and eastward extending in the northeastern hebei central depression of bohai bay basin.Because it has much depressions steep belt, haun subsags zone and slope zone, which are the forming conditions of subtle reservoir, so the area accumulation model is varied, wich has high exploration and research value. After40years of experts and scholars study practice, it also demonstrate BaXian depression is very rich in oil and gas resources.NiuDong buial hill zone in BaXian depression in the study area mostly has low porosity and permeability and strong heterogeneity of carbonate reservoir.As it is well known that the crack is the main reservoir space and hydrocarbon migration channel, the method of using single in the reservoir prediction is often very difficult. Besides carbonate reservoir pore space is complex, and change of seam hole’s shape, size, type and filling property change is bigger, so with a single method Understanding of the carbonate reservoir fracture development situation is virtually impossible. So in this case, we need to apply a variety of methods to reduce the uncertainty of possible. This article,titled "the buried hill in BaXian depression region of multi-attribute prediction of crack",mainly discusses function of the method given priority to with multiple attribute analysis technology in the fracture prediction.Seismic attribute analysis technology processes are multiple types of seismic attribute extraction and analysis in combination with drilling and oil extraction results, select sensitive attributes.Finally use the comprehensive analysis techniques such as neural network to predict.This article mainly from the knowledge of the basic theory of seismic attributes,apply the seismic attribute analysis technology to NiuDong buial hill zone in BaXian depression in the study area,and analysis petrophysical analysis on the basis of well logging and geology information petrophysical analysis.Then understand the relationship of reservoir physical parameters, and provide a powerful theoretical basis of the seismic forward modeling. Through seismic model forward and geophysical response characteristics analysis, discussed the recognizability of seismic methods to fracture development zone, and analysis the seismic attributes, select sensitive attributes, finally compare the results of the analysis and the geological and drilling data analysis, find the fracture development zone.Through a series of studies we have found that in carbonate fracture prediction method in this research is mainly to the following understanding:(1) the analysis of the seismic response characteristics of fracture section is:reflection of fracture development period in the conventional seismic section is that extended distance is shorter and lateral continuity is poor; Reflection intensity profile is mainly reflected that intensity is top-down became smaller; Instantaneous frequency in vertical direction of fracture trend attenuation fast and strong heterogeneity.(2) design the five forward model:crack model of reservoir thickness, the width of the reservoir model, fracture interval model, crack model of depth from the top of the buried hill, the unit of equivalent velocity model, can show the changes of fracture development zone.(3)Using Coherent and multi-attribute composite technology to qualitative detect the area of main development crack will be better, so as to reveal the relatively macroscopic fault information.(4) through the actual data processing, compare frequency attenuation properties and well a properly explain the results. The alignment is good. The frequency attenuation amplitude within the oil and gas reservoir is bigger, and it also appears the frequency attenuation phenomenon in dry layer and water layer that is smaller.But in other strata, the attenuation of amplitude is smallest. So using frequency attenuation is a good way to predict and verify the capability of reservoir.