Volume 41 Issue 6
Nov.  2024
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WANG Jianlong, YU Zhiqiang, GUO Yunpeng, et al.A method of early gas kick monitoring based on DDMP-GWO fusion algorithm[J]. Drilling Fluid & Completion Fluid,2024, 41(6):747-754 doi: 10.12358/j.issn.1001-5620.2024.06.007
Citation: WANG Jianlong, YU Zhiqiang, GUO Yunpeng, et al.A method of early gas kick monitoring based on DDMP-GWO fusion algorithm[J]. Drilling Fluid & Completion Fluid,2024, 41(6):747-754 doi: 10.12358/j.issn.1001-5620.2024.06.007

A Method of Early Gas Kick Monitoring Based on DDMP-GWO Fusion Algorithm

doi: 10.12358/j.issn.1001-5620.2024.06.007
  • Received Date: 2024-05-23
  • Rev Recd Date: 2024-07-09
  • Publish Date: 2024-11-30
  • Measurement of mud gains in mud pits is a conventional method of detecting downhole gas kick and is still in use in present. Using this method, the detection of a gas kick sometimes remarkably lags the occurrence of the gas kick. Another gas kick detecting method is the monitoring-while-drilling method with which gas kick can be timely detected, but the functions of this method are very limited. In this study a new method with which a gas kick can be qualitatively detected in an early time and quantitatively explained is presented, the changes of the flowrates of the fluids in the annular space while a gas kick is encountered are analyzed, a gas kick risk index (KRI) is designed, and the mapping relationship between the KRI and the volume fraction of the kicked gas is derived. Based on the difference between downhole dual measurement points pressure (DDMP), using the grey wolf optimization (GWO) algorithm, a real-time method for calculating the flow velocities of the fluids in the annular space is constructed. Using a simulated gas kick scenario, the stability and effectiveness of the method for early detection of gas kick are analyzed. The study shows that when a gas kick occurs, the flowrates of the fluids in the annular space are increasing, and this can be used as a key characteristic parameter for gas kick detection. The volume fraction of the gas in the annular space has a linear relationship with KRI. Errors made in calculating the flowrate of the fluids in the annular space first decrease and then increase as the distance between the two measurement points increases, and are less affected by the errors made in pressure and temperature measurement. Using this new method, the lag time for detecting a gas kick is 13.8 min, and the inversion error of the gas volume fraction in the annular space is less than 10%. This method is not only able to detect gas kick earlier, it also provides key parameters for well control design such as the gas fraction of the fluids in the annular space at a mud gain in the mud pits of only 0.017 m3, a volume that does not cause the fluid levels in the mud pits to change significantly.

     

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