Research Of Method On Reservoir Parameters Model Using 3D Seismic Data Containing Rock --- Fractal Cokriging

In the process of reservoir modeling, Geological statistics bring forward integrating various different type, various credibility grade, various scale materials to form precise petroleum numerical value model algorithm. Compare with conventional credibility methods, Geological statistics methods can estimate model incredibility. As we know, well logs has high differentiate in the lengthways, and provide precise local data, but when there is no well drilled or the number of well are small or in area which is in low exploration degree, the it will be difficult even impossible to precisely evaluate with well data. On the other hand, seismic velocity consistently collect layer information, abundant data, and cover wide area. As a result, in integrating data the critical question is how to take advantage of 3D seismic data and well data to descript petroleum no homogeneous.Cokriging is a multivariable geology statistical method, it also is a seekingexcellent linear unbiased interpolation evaluated method. It can make full use ofvarious information; providing to improve credibility in a given area. In spite of Cokriging having lots of merits, it also has some demerits. It has smooth effect on data, this effect that make the result not to follow statistical rule of data, if we do not clear smooth effect, it will effect strictlyy edict precise. In order to solve these problems, this paper bring forward a new method of fractal Cokriging to integrate 3D seismic data and well logs to predict porosity in the 3D space model. Study object's minutia and complexity are depicted by fractal technology. Finally the methods applied in a oil fields and result is obtained.