Minimization Of The Noise In The Calculated Pressure Derivative Data For The Interpretation Of Transient Tests
2023
Konferenz
Zugriff:
Well tests are conducted to estimate essential reservoir parameters likepermeability and skin factor. Pressure data is recorded at regular intervalsduring these tests, which are crucial for predicting the production potentialof oil or gas. Analyzing pressure changes provides insights into thereservoir's characteristics and its ability to produce hydrocarbons over time. Three different cases of drawdown tests are examined, and derivativecurves are plotted using data points separated by specific intervals, rangingfrom 0.10 to 0.50 of a log cycle. This interval selection is vital to avoidexcessively noisy derivative values during differentiation. A novel method isdeveloped to determine the log cycle interval that minimizes noise whilemaintaining the integrity of the derivative curve. Additionally, second andthird derivatives are calculated for each log cycle interval to identify themost suitable one. The log cycle interval helps identify early, middle, and late-timeregions, representing different flow regimes in both cases. The data from themiddle time region is selected for the estimation process, as it offers thebest estimates of permeability. These results are then compared with thoseobtained from KAPPA's Saphir Module, an industry-standard PTA (pressuretransient analysis) module. The Python code used for estimation is found toprovide more accurate estimations of permeability and skin factor and canhandle noises up to ±2.5%.
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Minimization Of The Noise In The Calculated Pressure Derivative Data For The Interpretation Of Transient Tests
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Autor/in / Beteiligte Person: | Sınayuç, Çağlar ; Coşar, Doğuhan |
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Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
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