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Application of pressure and pressure integral functions for the analysis of well test data
"effective time" functions. In addition, we introduce a
"smoothing" techniques have been used to reduce data noise,
analysis on the well test data using the pressure integral
analyze well test data with these methods without the use of
basic character of the data. In this work, we use pressure
consistent and applicable method for the analysis of well
derivative functions to derive useful qualitative and
derivative of the pressure change is often distorted by
functions with the pressure change and pressure change
functions. Then, we demonstrate the applicability of the
functions. Thus, we integrate the pressure analysis approach
integral and pressure integral derivative functions to reduce
integral functions. In this manner we couple the integral
numerical technique to generate the pressure integral
pressure change can be ambiguous, and analysis using the
pressure change integral and derivative of pressure change
quantitative information from these test data. We also
random error in the data or data noise. Although various
some concern exists that smoothing procedures may alter the
superposition time functions such as, Horner time and Agarwal
The analysis of well test data by methods which only use the
the data noise. First, we perform the conventional semilog
with the pressure integral analysis approach and develop a