A Simple Cyclic Steam Analytical Model for Heavy Oil, Pressure Depleted Reservoirs

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Abstract/Contents

Abstract: Since the discovery of cyclic steam a number of mathematical models describing the phenomenon have been proposed. These models range from the very simple analytical expressions t o complex numerical reservoir simulators requiring the use of super computers. While thermal simulators provide the most powerful tools for predicting performance of cyclic steam operations, their use is not always justified. Often availability of data, time pressure and economic constraints require that much simpler analytical models be used.In this study a review of existing analytical models for cyclic steam is presented and a new model is proposed. The proposed model incorporates many of the ideas from existing models with some refinements. The flow rate of oil in the model is influenced by oil viscosity, effective permeability heated zone radius, formation dip angle, porosity, mobile oil saturation and thermal diffusivity of reservoir. The reservoir temperature changes with time are modelled and they cause the oil rate to decline during the cycle. The model also accounts for the heat remaining in the reservoir from previous cycles. The model equations are kept as simple as possible and correlations are incorporated t o minimize data requirements.The results from the proposed analytical model are compared with some field data and with another analytical model. The agreement with the reported data is good. The limitations and uses of the model are discussed.

Type of resource	text
Date created	December 1983

Author	Gontijo, Julio Eustaquio
Primary advisor	Aziz, Khalid
Degree granting institution	Stanford University, Department of Petroleum Engineering

Subject	School of Earth Energy & Environmental Sciences
Genre	Thesis

Location	https://purl.stanford.edu/zg404sm1418

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Preferred Citation: Gontijo, Julio Eustaquio. (1983). A Simple Cyclic Steam Analytical Model for Heavy Oil, Pressure Depleted Reservoirs. Stanford Digital Repository. Available at: https://purl.stanford.edu/zg404sm1418

Master's Theses, Doerr School of Sustainability

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