Publications

There are large numbers of wells currently producing below their actual potential. It is very cumbersome to manually analyze these wells, therefore, there is a need for a simple and handy tool to assist in screening. Substantial amounts of data are available (production data, test data, pressure data, historical data) that can be processed in order to identify production enhancement opportunities. An initiative has been undertaken to formulate a simple methodology to screen well candidates for production enhancement using a probabilistic model and encapsulate the results into a user friendly software tool box. The tool will have various functionalities such as the ability to screen, estimate potential gain, recommend suitable solution, calculate simple economics and rank the candidates. In addition, it will also have built-in database and graphics capabilities. Some of the required basic input is common information that should be available for most wells such as PI, latest reservoir pressure, permeability, thickness, skin, oil viscosity, oil gravity, last rate, WC, GOR, THP, oil API and well depth. A simplified methodology has been devised to estimate a wells potential using a Monte Carlo Simulation (MCS) to generate a probabilistic rather than a deterministic proposition. For maturing the results of analysis into an execution proposal, the tool can also do simple economics and perform “reality checks against factors such as physical limitations, economic considerations, etc. This software development has potential to assist subsurface engineers in carrying out studies related to production enhancement.