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• W2012553526 abstract "Abstract For many years it has been standard practice to use very involved grid models to describe the reservoir behavior for the oil and gas industry. These grid models represent sizable investments in both time and money and are used in many instances in a sparing manner so that the cost of getting the needed reservoir information does not become prohibitive. In this paper we present an alternative model for a gas reservoir that is averaged over the geometry of the reservoir and hence represents a zero-dimensional model. It is called a reservoir per se model and describes the state variables as space averages through time. David is thought of as a small, efficient, low cost and low maintenance model that can be used as a simple alternative to, or prelude to, the use of the larger grid or Goliath type models. Goliath is pictured as big, bulky, not very efficient, high cost, pictured as big, bulky, not very efficient, high cost, high maintenance, and needing large amounts of input data. The particular David model — the reservoir per se model — that is presented does a good job in describing the bulk properties of the gas reservoir and has been validated in eighteen distinct cases. This model can and should be used when simple reservoir answers are needed quickly and at low computer cost. Introduction Every decision maker uses models, whether he or she is analyzing a highway system, an electronic amplifier, or is deciding upon the development and operation of a petroleum reservoir. Often he or she uses several models depending on which parts of the system are receiving attention. In each case, the particular model chosen exhibits those aspects of particular model chosen exhibits those aspects of reality of concern at the moment. Some details of system behavior may need to be sacrificed in a particular model in order to make it more efficient (less particular model in order to make it more efficient (less complex, more easily understood, or less costly to compute), or more accurate in those aspects that are of primary concern in the particular application. Seldom, in the real world, does a single model do everything. Even if there is a large, comprehensive Goliath model the computational cost is usually such that simpler David models are better for preliminary analysis purposes and the Goliath models are used mostly for adjustment or fine-tuning of the system. In any event, the advice of Coats is well taken: A general rule should be, but seldom is, followed is to select the least complicated and grossest reservoir description that will allow the desired estimation of reservoir performance. The model we describe here is one of the simple models — a David among the Goliaths of the reservoir modeling field. Its purpose is not to model those features of the reservoir which have to do with the internal geological structure of the reservoir but to model the lifetime pressure and production relationship for natural gas reservoirs with water drive and gas entrapment. We see it as serving several purposes, among the many of which are: * An economical model (in computer time and money) to be incorporated into energy systems studies. * A model to be incorporated into reservoir policy and planning studies (e.g., to determine how much recovery can be expected from a reservoir with known characteristics). * A prelude to, or alternative to, Goliath models in preliminary design of reservoir development and operation. * An average reservoir for various kinds of reservoir studies (e.g., ultimate recovery versus rate of production for various assumed production schemes or alternatives). These are the kinds of uses for which the reservoir per se (or David) model is well suited. That it does per se (or David) model is well suited. That it does model the pressure-production relationship accurately will be demonstrated in Section V, Model Validation." @default.
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• W2012553526 date "1980-09-21" @default.
• W2012553526 modified "2023-10-06" @default.
• W2012553526 title "Modeling Natural Gas Reservoirs: David Vs. Goliath" @default.
• W2012553526 doi "https://doi.org/10.2118/9395-ms" @default.
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