Fracture Modeling Based On Fracture Mechanics And Its Effect On The Reservoir Modeling

The article based on the observation and description of core, and the sufficiently use of core, seismic, micro electrical receptivity well log, and test data, to proceed fracture modeling research. And based on the analysis of fracture classification,controlling factors and distribution characteristic, in this article we established the fracture intelligent recognition system. In the reservoir fracture forecast modeling aspect, we established one DFN (discrete fracture network) facture modeling system and one FM2 (fracture modeling based on fracture mechanics) system by combining geological statistics and fracture mechanics. The characters of fractures in reservoirs were quantitatively evaluated by many factors, and the validity of the fractures was analyzed by utilizing the crop, drill core, thin section and logging method of fractured reservoir. The main conclusions and results in this thesis were as follows:Through the core sample observation and description, and the full use of core sample image,micro electrical receptivity well log, established the fracture intelligent recognition system. First carries on criterion standardization processing of micro electrical receptivity well log data, and obtains a series of micro electronic receptivity image sequences with the same size, then carries on pretreatment by using the binary algorithm to the standardized micro electronic receptivity image sequences, then by using interactive method, obtains the complete fracture pattern sample data, after then, based on BP (Back Propagation) pattern recognition neural network technique, carries on the fracture auto recognition. Finally, based on least squares method, obtains the fracture orientation by using the recognized bitmap coordinate data.Based on analysis of micro structure,sedimentation faces and reservoir modeling technology, has established five key research sub-area fine geological model, provides the essential model for the fracture research. Based on DFN (discrete fracture network) facture modeling method, has established the black 47 separate crack network model. Based on the modern fracture mechanics, has established FM2 system. The model has not only considered the temperature field and strain field coupling effect, and introduces Green Strain tensor in the small distortion analysis. Because of the reservoir existence varying degree's aeolotropies, so in the elastoplasticity stress and strain field simulation, mainly uses kinematics hardening theory. But the fracture distribution also influenced by later period structure change and others kinds of factors. In order to compensate the influence of these factors to facture distribution, the auto-adapted intelligent field control fracture modeling method is first raised in this article. Based on the common field control fracture modeling method, by contrasting the fracture distribution data obtained from fracture intelligent recognition system and DFN method, modify the boundary condition and modulus by according to the error to make the simulation results achieve the most superior match. In this article, based on auto-adapted intelligent field control fracture modeling method, has completed Hei47 area,Hei59 area,Hei79 area,Hei89 area fracture simulation. In these four areas, the high value of Mises stress and fracture density most distributes nearby the fault and large displacement region.