Modeling Based On Geological Structure Orientation

Reservoir prediction is an important method to realize lithology distinction and fluid identification of oil and gas reservoirs.Seismic inversion can effectively obtain rock elasticity and physical property parameters,and is an important method for reservoir prediction.Due to the lack of low-frequency seismic data in the process of seismic data acquisition and processing,the seismic inversion is ill-posed.Establishing a reasonable initial model is one of the methods to solve the problem.Considering that the seismic stacking section contains rich structural information,this thesis combines logging and seismic data to study the method of initial model building based on dip angle attributes and fault information,so as to serve high-precision seismic inversion.The inter-well interpolation modeling technology based on horizon information constraints has large human error and time cost,and the use of plane wave deconstruction filter to extract local dip angle attributes as a structural guide to guide inter-well interpolation can quickly establish a high-precision initial Model.In the process of modeling based on dip attribute,this thesis introduces an improved accelerated plane wave deconstruction filter to adapt to the dip extraction of 3D seismic data.Model.On this basis,in order to further characterize discontinuous structures such as faults,this thesis proposes an image-guided "painting" prediction algorithm based on a plane wave prediction operator to obtain the spatial distribution of measured parameters of a single well.The modeling weight of the "painting" prediction result is obtained,and the initial model is established by means of weighted average,so as to realize the modeling method based on the joint constraint of dip angle attribute and fault information.In this thesis,the structural information is fully considered,and the initial model modeling method under the background of complex geological structure is proposed.The model data test and actual data application show that the method proposed in this thesis can effectively improve the modeling accuracy,retain rich structural information,and at the same time can improve the modeling speed and help improve the reliability of reservoir inversion.