Inf De Pasantias

Society of Petroleum Engineers

SPE 25604

A New Reservoir Simulation System for a Better Reservoir Management
Didier Lefevre, Gerard Pellissier, and J-C. Sabathier, * BEICIP-FRANLAB
'SPE Member
Copyright 1993, Society of Petroleum Engineers, Inc. This paper was prepared for presentation at the SPE Middle East Oil Technical Conference & Exhibition held in Bahrain, 3-6 April 1993. Thispaper was selected for presentation by an SPE Program Committee folloWing review.of information contained in an abstract subn@ed by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are sUbject to correction by the author(s). The material, as presented: does not necessarily reflect any position of the Society of Petroieum Engineers,its officers, or members. Papers presented at SPE meetings are subject to publication review by Editorial Co.mmlttees of the Society
of Petroleum Engineers. Permission to copy is restricted to an abstract of not more than 300 words. illustrations may not be copied. The abstract should contain conspicuous acknowledgment

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ABSTRACT
Practically all the problems of reservoir development or reservoir management are analysed with a reservoir simulator. This tool must, consequently, be very versatile to allow to test very different hypothesis and very user friendly not to waste the engineer time. Indeed reliability,. accuracy, performances are some of thebasic requiremenls for an industrial tool. Many simulators are presenlly available on the market. However, their range of applications is often limited and different "versions" have to be used to solve different problems. Differences between the versions (mainly due to differenl updatings and different programmings) may be detrimental to a sound appreciation of the discrepancies between twopredictions made with two different versions. Consequently it was decided to create a new reservoir simulation system covering a very large range of possible applications and having a structure opened for new implementations. A key point is that, from the user's point of view, the model must not be more complex than required by the problem as far as input, documentation, memory requirements andperformances are concerned. This is possible through a very efficienl software management which is described in another paper[l]. Here we only describe some specific features of the general structure of the system, and of the geometry and well modelling aspe~ts.

Thermal effect; Polymers; Ions, Tracers - Gas in water solution. Many other options which are considered as second level options (e.g. Kr-Pcwith hysteresis) may be (or not) included in the model and, if necessary, activated by relevant keywords in the input file. The basic principle is that all Lie (non exclusive) options may be combined to obtain a runnable code (e.g. an irregular radial grid, dual porosity with polymers and thermal effects). Some associations may indeed be prohibited but only for physical reasons, that is becausethe physic of the corresponding state is not known or included in the present formulation (as in the previous exemple). This is obtained through a strongly structured programming with different level libraries (a self testing programme is attached to each library). This allows a large modularity allowing to add new options or modify specific libraries (Kr-Pc, PVT, .....) without modification of themain code structure. This is an extension of a type of programming which has been already used in a previous model[2.3]. The programme is divided in three main parts: The input module. It receives the input data generated by the user (generally through the Pre-Processor). When initializing the model, keywords are decoded and, after checking their consistency, data are transferred in a specific...