Abstract
Unique properties and behaviour of coal seams reservoirs make prediction of future production a challenge for production and reservoir engineers. Fluid flow in coal seams is governed by coal properties as well as the method of completion and production. It is difficult to conduct the task without a thorough analysis of production data.
Analysing the production performance in coal seam beds can be a daunting task, particularly at the early stage of production life of the field. A great deal of time and effort are spent in filtering and analysing a large amount of production data, which is used to determine key properties (e.g. permeability, average reservoir pressure, bottom hole flowing pressure). Arguably, prediction of coal seam reservoir performance is entirely dependent upon the input reservoir data used in the simulation model.
It is almost impossible to acquire data such as pressure on daily basis. The method in the paper used all available data (e.g., gas rate, water rate, casing pressure, tubing pressures and fluid level) to calculate bottom hole flowing and average reservoir pressure that is later calibrated with measured pressure from dedicated monitor wells. These data can then be history-matched in analytical and numerical models.
The paper will be presented with specific well history- matching to illustrate the method used in the study and relativity to the results generated from simulation model. The analysis will focus on specific well cases and illustrate scenarios that are applicable in other coal seam reservoirs.
