Abstract-Decline curve analysis is a technique can be applied to a single well, and total reservoir. Decline analysis routinely used by engineers to estimate initial hydrocarbon in place, hydrocarbon reserves at some abandonment conditions, and forecasting future production rate. The remaining reserve depends on the production points that selected to represent the real well behavior, the way of dealing with the production data, and the human errors that might happen during the life of the field. In this study the actual oil rate technique is applied under decline curve analysis (D.C.A) program, and screening data points to calculate remaining and recoverable reserves.
DCA (Decline curve analysis) is one of the most powerful tools used in defining well/reservoir worth. DCA aims at estimating reservoir production performance at any time (of production) post plateau period providing realistic and well documented production data. DCA helps in developing production-rate/reservoir-pressure distributions to determine well/reservoir productivity scheme. Forecasting well/reservoir production rate, estimating remaining reserves, monitoring GOR & WC behaviors, deciding on reservoir pressure support and determining economic limits are among the many befits of DCA as well.In this study the AOR (Actual Oil Rate) method has been implemented utilizing the DCA, FASTRTA™ and Ecrin packages to calculate remaining and recoverable reserves in particular. The remaining reserves depend on the production data that are selected to represent the actual well/reservoir behavior. This technique allows eliminating misrepresenting production data due to human error, imposed production rates caused by internal company policy or external factors (politics, natural disasters, etc.) during production life of the field.A case study has been used as a pilot for the proposed method. Analyses have been performed on both well and whole reservoir scale. The outcome yielded more realistic results using AOR and generated very useful development recommendations. The proposed AOR-DCA adopted technique can assist in accurate decisive parameters estimate of both mature and under-development oil reservoirs worldwide.
Relying solely on traditional drilling technology to estimate the world’s proven Oil Reserves denies the likelihood that billions of barrels of unfound oil lay just outside the industry’s technological reach. With substantial financial and legal assistance and government support to develop newer technologies like Deep-Water Drilling (DWD), the major oil companies and the US White House are confident that new fields can be brought into production that should increase supplies and stabilize or lower energy prices. Each new find, they estimate, will help increase the world’s proven oil reserves allowing investors and consumers to feel more optimistic about providing for their future energy needs. It is also hoped that this new technology will lead to safer, more economic and environmentally appealing exploration and production methods (Belhaj, et al)1. Pertinent questions arise as to what impact BP’s tragic oil spill may have on the future of Deep-Water Drilling and on the future of energy prices? Does industry have the technology to successfully and economically exploit fields using DWD? What role should governments play in regulating dangerous, environmentally unsound drilling practices? Should regulations be allowed to impede progress? Identifying DWD as having a major influence on cost and being a critical parameter in any energy equation, the authors answer these questions and present two models that pessimistically and realistically describe the future role of DWD in places like China, India and Brazil over the next 50 years – places with growing populations and economies, but little government oversight. Conclusions are reached with a discussion about the need for DWD in the current economic slowdown in advanced economies that have witnessed decreased oil demand and why traditional models affecting energy prices have been unsuccessful in predicting the current high energy prices.
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