Well killing abnormal working condition identification method and system based on big data
A technology of abnormal working conditions and identification methods, applied in data processing applications, special data processing applications, earthwork drilling and production, etc., can solve problems such as the safety, reliability and efficiency of well killing operations to be improved, well killing process processing, etc. , to achieve the effects of improving operation efficiency, reducing economic losses, and reducing well killing construction period
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[0039] A method for identifying abnormal well killing conditions based on big data, such as figure 1 As shown, the method includes the following steps:
[0040] In the case of overflow and gas invasion in the oil and gas well, shut down the well quickly, and choose the well killing method combining the engineer method and the hard top method according to the actual situation;
[0041] Input the specified parameters of the well into the big data well killing software before killing the well;
[0042] Collect real-time data of the specified parameters during well killing, including vertical pressure, casing pressure, pump pressure, pump stroke, pump displacement, annular volume, drilling fluid density and well depth;
[0043] Preprocessing the real-time data, specifically complementing the missing data or denoising the noise data, and synchronizing it to the database in the big data killing software;
[0044] Draw the collected real-time data into a kill curve, compare it with...
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