Abstract
The fracturing technique is widely used in many fields. Fracture has a greater impact on the movement of fluids in formations. Knowing information about a fracture is key to judging its effect, but detailed information about complex fracture networks is difficult to obtain. In this paper, we propose a new method to describe the shape of a complex fracture network. This method is based on microseismic results and uses the L-system to establish a method for characterizing a complex fracture network. The method also combines with decomposition to construct a new method called the multiobjective fracture network inversion algorithm based on decomposition (MOFNIAD). The coverage of microseismic monitoring results and the degree of fitting of production data are the two objective functions of the inversion fracture network. The multiobjective fracture network inversion algorithm can be optimized to obtain multiple optimal solutions that meet different target weights. Therefore, this paper established a multischeme decision method that approached the ideal solution, sorting technology and AHP to provide theoretical guidance for finding a more ideal fracture network. According to the error of microseismic monitoring results, we established two cases of fracture to verify the proposed method. Judging from the results of the examples, the fracture network finally obtained was similar to actual fractures.
Highlights
With the depletion of global conventional energy, unconventional energy and renewable energy are gradually attracting attention [1,2]
The degree of fitting of the microseismic monitoring results was represented by the number of microseismic points covered by the generated fracture network, and the degree of fitting of the production data was represented by the absolute value of the difference between the production data of the simulated fracture network and the real fracture network
The network structure after subdivision was regarded as a possible form of the fracture network, based on which a complex fracture network generation method was constructed in this paper
Summary
With the depletion of global conventional energy, unconventional energy and renewable energy are gradually attracting attention [1,2]. Fracturing technology is applied to increase production in oil and gas fields, and widely used in other fields such as the extraction of geothermal energy [10], the treatment of solid hazardous wastes [11], the measurement of ground stress [12], the repair of soil and groundwater layers [13], and so on. Based on the general information on fractures provided by the microseismic results (because the previous research on microseismic technology is rich enough, this paper does not introduce it too much, as it used only microseismic monitoring data) [27,28,29,30], microseismic point sets were taken as the constraint of the fracture network, and the Delaunay triangulation method was used to divide those points into the possible network structures of the fracture network. The degree of fitting of the microseismic monitoring results was represented by the number of microseismic points covered by the generated fracture network, and the degree of fitting of the production data was represented by the absolute value of the difference between the production data of the simulated fracture network and the real fracture network
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