Inflow Performance Relationships for Damaged or Improved Wells Producing Under Solution-Gas Drive

Abstract

SPE Members Abstract Inflow performance of twenty-one theoretical solution-gas drive reservoirs was simulated using the Weller method. These reservoirs contained a wide range of rock properties, fluid properties, relative permeability characteristics and skin effects. Two permeability characteristics and skin effects. Two types of inflow performance relationships were developed from the 19,500 generated data points. For the first type, each curve represents dimensionless pressure versus the oil flow rate normalized to its pressure versus the oil flow rate normalized to its actual maximum, flow rate. The second relates dimensionless pressure to the ratio of flow rate to the theoretical maximum, undamaged flow rate. Results show that inflow performance is strongly dependent on bubble point pressure and reservoir depletion effects; while oil API gravity, residual oil saturation, critical gas saturation, absolute permeability and relative permeability have only a permeability and relative permeability have only a minor effect. Skin effect and reservoir extent have major effects only on the unnormalized curves. Nonlinear regression techniques were then used to develop empirical equations that fit dimensionless flow rate as a function of dimensionless pressure and skin. Equations were also developed that included the effects of depletion, bubble point pressure and ratio of reservoir extent to wellbore radius. The resulting equations proved to be statistically sound. In addition, several new reference curves that can be applied to solution-gas drive reservoirs in general are proposed. The new curves incorporate approximately 19,500 data points and a wide range of reservoir characteristics. Introduction One of the most important problems confronting a petroleum engineer is predicting pressure/production petroleum engineer is predicting pressure/production behavior in an oil and gas reservoir, given a host of possible operating schemes. By predicting the possible operating schemes. By predicting the response of an oil reservoir for various hardware and pressure scenarios, a first case estimate to maximize pressure scenarios, a first case estimate to maximize profitable reserves development can be achieved. profitable reserves development can be achieved. Computer solutions for the performance prediction of solution-gas drive reservoirs have evolved since the early 1-950's. However, most methods were algebraically intensive and required considerable computation time. In 1965. Weller devised improved method of calculating the performance depletion-type reservoirs. This method, with the help of a few simplifying assumptions, provided a fast and simple means of predicting pressure performance for gas-oil flow in a reservoir. By performance for gas-oil flow in a reservoir. By plotting flowing bottom-hole pressure versus flow plotting flowing bottom-hole pressure versus flow rate, a useful method of estimating oil well productivity, known as the performance productivity, known as the performance relationship (IPR), can be established. Vogel used the method of Weller to calculate IPR curves for wells producing from several depletion-drive reservoirs for a variety of PVT properties and relative permeability data. He introduced the notion of permeability data. He introduced the notion of dimensionless IPR curves. Vogel noticed that the dimensionless curves exhibited similar shape for various reservoir conditions. From this fact, he proposed a reference curve that could be used to estimate well productivity for most undamaged solution gas drive wells. productivity for most undamaged solution gas drive wells. Standings presented a companion set of curves to Vogel's curve that enabled the estimation of productivity for damaged or improved wells based on productivity for damaged or improved wells based on the flow efficiency. However, his curves do not hold for certain cases of low flowing pressure and high flow efficiencies. This study has tried to examine several factors that effect the calculation of IPR curves. Critical factors are reservoir rock properties, fluid properties, bubble point pressure and depletion. properties, bubble point pressure and depletion. Also, zonal damage around the wellbore, caused during drilling or completion, can dramatically decrease the productivity of a well. productivity of a well. P. 869

Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow

“…Different forms of IPR equations that take into consideration damage or stimulation in the vicinity of the wellbore of solution-gas drive reservoirs were also presented (Standing, 1970;Dias-C and Golan, 1982;Camacho-V and Raghavan, 1987;Klins and Majcher, 1992). Jones et al (1976) and Camacho-V et al (1993) investigated the effects of non-Darcy flow created by high-flow rate production on IPR behavior.…”

Inflow Performance Relationship Correlation for Solution Gas-Drive Reservoirs Using Non-Parametric Regression Technique

“…Table (9) gives the reservoir properties and the C 1 estimate for this field. Table ( 10) shows the multi-rate test data taken from this well. Table ( This case represents a good opportunity to examine the behavior of the proposed correlation in predicting the future IPR using Eickmeier [30] Equation compared to the other correlations.…”

Modification of Vogel's Inflow Performance Relationship (IPR) for Dual Porosity Model

“…After Vogel (1968), several empirical relationships have been developed to predict the performance of vertical and horizontal oil wells in saturated reservoirs (Standing, 1970;Fetkovich, 1973;Klins & Majcher, 1992;Wiggins et al, 1992;Plahn et al, 1987). Due to 40 years of success with Vogel's IPR curves to predict conventional oil well performance, this study investigates whether Vogel's IPR may also describe oil production from a NFR well.…”