A method and device for predicting the extension direction of artificial cracks

Abstract

The embodiment of the present invention discloses a method and device for predicting the extension direction of an artificial crack, including: determining the distribution characteristics of the line connecting the maximum tensile stress points in the second area; predicting according to the distribution characteristics of the line connecting the maximum tensile stress points in the second area The extension direction of artificial fractures in the second area or the possibility of forming complex artificial fractures in the second area is analyzed. The embodiment of the present invention predicts the extension direction of artificial fractures based on the distribution characteristics of the line connecting the maximum tensile stress points, thereby improving the accuracy of the prediction results and providing a basis for well location deployment and improving the effect of reservoir fracturing.

Description

technical field [0001] The embodiments of the present invention relate to, but are not limited to, the field of oil and gas field development, and particularly refer to a method and device for predicting the extension direction of artificial fractures. Background technique [0002] The tight sandstone reservoirs in a certain oil and gas area in Shanxi have the characteristics of medium-low porosity, low permeability or ultra-low permeability. Reservoir stimulation measures are needed to obtain industrial oil and gas flow, and hydraulic fracturing measures are currently the main reservoir fracturing stimulation method. one. The sedimentary environment of the reservoir in the study area is fluvial facies, delta sedimentary environment and transitional facies between sea and land. The main sedimentary sand bodies are channel sand, braided channel sand and tidal channel sand. Or when directional well fracturing increases production, it is necessary to ensure that the extension ...

AI Technical Summary

Problems solved by technology

Among them, the logging method uses array acoustic logging or imaging logging to obtain the in-situ stress direction near the wellbore, but this method requires a large amount of capital investment in drilling and logging, and the wellbore is usually a point of stress concentration, so it can only monitor the stress near the wellbore. The stress field near the wellbore is often inconsistent with the regional or local structural stress field far away from the wellbore, resulting in the direction deflection of the fracture during the extension process, resulting in the inconsistency between the predicted result and the actual fracture direction

Among them, the stress field simulation method can predict a uniform and large-scale stress field distribution, but it is difficult to predict the change of the local small-scale stress field due to the limitation of the interpretation accuracy of the layer

The comparison of actual fracture monitoring shows that there is a certain difference between the prediction results of the logging method and the stress field simulation method and the actual artificial fracture direction, which is difficult to guide the optimization of fracturing methods and parameters in dense sandstone reservoirs to achieve the effect of efficient development, and even more difficult Optimize the development and deployment of tight sandstone reservoirs before drilling, and guide exploration and development zones to formulate large-scale development optimization plans, thus increasing the difficulty and risk of tight sandstone reservoir development

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