DEVELOPING A MATHEMATICAL MODEL FOR PREDICTING THE BOTTOM-HOLE FLOWING PRESSURE OF A GAS WELL

As the economic importance of natural gas continues to grow, gas well surveillance
equally generates more interest to the petroleum industry. The flowing bottom-hole
pressures must be known in order to predict the productivity or absolute open flow
potential of gas wells. These parameters are measured using down-hole gauges method
of gas well test. In gas wells, down-hole parameters could be estimated using
mathematical expressions instead of measured directly using gas well test procedure so
that it will saving lots of dollars. The conventional method of gas parameter measurement
include the iterative method, the Sukkar and Cornell method, Cullender and Smith
method. Others are Crawford and Fancher and the Poettman method. All these methods
involve very long and cumbersome iterative procedures. This makes the job of the field
men very tedious, especially when the unit system changes. Similarly, data integrity is not
guaranteed because data is far from actual. This research work presents a mathematical
model for the predicting flowing bottom-hole pressure in gas wells, using the Average
temperature and deviation method and the Cullender and Smith method. It utilizes a userfriendly
window based Visual Basic for Application in Excels with adjustable unit system.