Research On Compact Oil Reservior Fracture Identification Based On Reservior Modeling

Southwest Ordos Basin HH oil Zhen Jing South Block in 2008 drilling has achieved very high yield, the area has good prospects for exploration and development based on its evaluation of several round and various displaying data. As the long 81 that is geological oil effective reservoir in the region belongs to low porosity?permeability and dense one, its natural energy is not high. As a result, in order to enhance the achievements of exploration and development, according to the existing drilling, testing, logging data and other information, the thesis has set up a geological model of HH Oilfield Chang 81 reservoir to describe exploration and development of the HH oil field Chang 81 reservoir giving some technical supportOn the basis of strati graphic layered marks, lithologic data and logging data, and other characteristics, the researching area divides the 8] layer into three layers from shallow to deep; l, 3. Chang 81,Chang8广,Chang 8f. The researching area takes the delta front subfacies deposits as the main sbject since long 8]1 top belongs to the shallow lake subfacies deposition which can be divided into 5 kinds of sedimentary micro facies: underwater distributary channel, mouth bar, underwater distributary bay, subaqueous crevasse splay and subsea natural barrier. After an analysis of Chang 8??s within layer?interlayer and plane heterogeneity, combing with the distribution of each layer’s porosity and sand body figures, the thesis finds out that Chang 8 / and 813 have a bad layer heterogeneity, however, Chang 8!2has a good reservoir quality.The thesis also describes the crack length, surrounding outcrop and core development of Chang 8]1. At the same time?it calculates the crack open parameter, length data of Chang 8] by means of imaging logging and conventional logging data, and then makes a prediction of its fractured zone in the future. Make full use of sedimentary structure model?the method of sequential Gauss simulation as well as random sequential indicator. And finally has a clear prediction of the transverse reservoir, making sure the simulation results consistent with the cognition of geological spatial formation.