Monitoring and events analysis in wells while fracturing and identification of fracture development intervals

Introduction. The article discusses multi-stage hydraulic fracturing (FRACKING) and its monitoring in real time with accompanying analysis of events in the well and determination of fracture development intervals. This approach makes it possible to carry out an operational assessment of the quality of current work without stopping the hydraulic fracturing process, namely: determining the leakiness of equipment, positioning the fracture development zone of hydraulic fracturing and a number of other parameters.

Goal. The purpose of this work is to demonstrate an approach that allows for the analysis of events during hydraulic fracturing in real time based on the developed proprietary software and hardware complex.

Materials and methods. As a basic approach, the technology was developed and the blocks of the proposed technology were structurally worked out, consisting of a pressure recording sensor, an electronic data acquisition device, software for digitizing data and packaging them on a server, software and algorithmic software for analyzing and interpreting recorded data.

Results. The authors show the experience of using the developed technology on the example of real measurements performed during hydraulic fracturing, the results obtained allow us to conclude about the efficiency of the technology and the convenience of using this approach in comparison with technologies requiring the descent of measuring devices to the bottom of the well. A comparative analysis with one of the applied reference technologies showed similar results, in the aisles of the current error of the described method, and this allows the technology to be used for mass monitoring of hydraulic fracturing operations.

Conclusion. The experience of using the developed technology shows the need for further accumulation of the amount of data, which makes it possible to improve the accuracy of interpretation based on the accumulated statistics. Carrying out several operations at each specific field and with a certain well design allows you to calibrate the developed algorithms and then put monitoring on stream using a minimum amount of additional information on the well.

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