الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Traditional decline curve analysis is an empirical procedure used mainly to predict recoverable reserves and future production rates based on the boundary dominated flow. Decline curve analysis gives reasonable answer in many situations, but completely ignores the flowing pressure data. As a result, it can underestimate or overestimate the reserves but modern decline curve analysis accounts both flowing pressure and rate for oil and gas wells. These curves have been developed by combining Decline curve and Type curve analysis concepts to give a practical tool which can more easily estimate the original oil in place (OOIP) as well as to estimate reservoir permeability, skin effect, fracture length and conductivity, etc. Accuracy of this new method depends on accuracy degree of production data for example (bottom hole flowing pressure (pwf), oil flow rate (q), initial reservoir pressure (pi) and fluid and rock properties). This study can be divided into two parts. First: study for the best practices of production data analysis to calculate the reserves, permeability, skin, drainage area and production forecast to help us to put the development plan after determining the type of drive mechanism via three oil fields from Western Desert. Then comparing the reservoir properties from rate transient analysis (RTA) with pressure transient analysis (PTA) and RTA reserves with volumetric or static material balance equation (MBE(results based on available data In addition to using Monte Carlo simulation to generate stochastic outputs and reliable results for reservoir parameters if we have significant error or absent in input parameter. The results are visualized with histograms, spider or tornado plots of statistical outputs as proven (P90), Probable (P50), and possible (P10). Second: To investigate the effect of the input data on output results using Synthetic oil model for different GOR (500,1000&1500SCF/STB) and the input data changed by +/-10% to see the error percent effect on OOIP, K, skin and drainage Area This study showed that it can calculate the OOIP, P.I and drainage area with high accuracy and permeability, skin as quantities number. Monte Carlo simulation is very important to get reliable results in case of existing uncertainties in input data. The uncertainty study showed the error % increase with GOR increase In addition to classifying each input parameter as low, medium, high and too high.