The Study Of Multiple-point Statistics In Mature Oilfield Modeling And Application

In recent years, the oil reservoir geology modeling has been reservoir in active ifeldresearch, it needs to build more reasonable of3d geological model for making clear the highwater-cut stage mature oilfield of remaining oil distribution at the underground and futrherimprove the rolling exploration and development work level. In the paper the research morestatistics modeling method, the intenrational front research direction.The two traditional geostatistics in reservoir modeling application take method which ismainly by variogram. However, vairogram reflects is only the correlation between the twospace and can’t fully describe complex geometric shape sand body such as channel sand bodyand alluvial fan sand body space continuity and variability. When Wells data is small, used forcalculating the expeirment becomes poor function point to very few，it also can’t correctlyreaction space of the relationship between the two. And more geostatistics focuses on thecorrelation between the expression more，to make up for the deficiency of traditionalgeostatistics method.This paper comprehensive geological understanding and logging data, using a multipointstatistical modeling method in the study area a geological modeling. The main researchcontents are as follows:First, the layered data for well control points to work area boundary as constraint, throughthe kerry gold interpolation method, establish the research area of each little layer structuremodel.Second, according to the geological understanding in the area, logging and hand-paintedartificial row equal material establish training image，the more geostatistics sedimentarymicrofacies modeling method to establish model, and the simulation algorithm with traditionalare compared and analyzed. The results show that more statistical modeling method of getsedimentary microfacies model, the spatial distribution of the irver more coherent, andsequential indicator modeling methods of obtaining the appear more scattered.Third, used artificial row respectively and3D training image more statistical simulation,take phased modeling method to establish the permeability and porosity of geological modelfull parameters, calculation and reserves. Fourth, the use of single well sedimentary microfacies coarsening inspection, probability distribution consistency test and inspection method to smoke rare geological model was verified, and the results show that, take on the training of the changes in the longitudinal image, use more statistics method to establish the geology of the model has a high reliability.