Water Influx, and Its Effect on Oil Recovery: Part 1. Aquifer Flow, SUPRI TR-103

Brigham, W.E.

doi:10.2172/9319

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…In other words, simple materialbalance tools cannot be used for objective analysis of nearcritical fluids in overpressure reservoirs. Brigham (1997) obtained seminanalytical solution for the Carter-Tracy aquifer influx model. The p D solution for pseudosteady-state flow is already presented in the text.…”

Section: Discussionmentioning

confidence: 99%

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Material-balance analysis of gas and gas-condensate reservoirs with diverse drive mechanisms

Kabir¹,

Parekh

Mustafa³

2016

Journal of Natural Gas Science and Engineering

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Section: Discussionmentioning

confidence: 99%

“…In this context, the McEwen reformulation is premised on the work of Yildiz (2008). Anchored in Brigham's (1997) semianalytical formulation, water influx can be modeled with the Carter-Tracy aquifer model without iterative calculations as follows (Izgec and Kabir, 2010):…”

Section: Pseudosteady-state Aquifer Solutions For Waterdrive Systemsmentioning

confidence: 99%

Material-balance analysis of gas and gas-condensate reservoirs with diverse drive mechanisms

Kabir¹,

Parekh

Mustafa³

2016

Journal of Natural Gas Science and Engineering

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“…In particular, we are indebted to colleagues N. Nagarajan for generating various vintages of PVT models, and S. Prasad and C. Emegwa for encouragement. Brigham (1997) obtained seminanalytical solution for the Carter-Tracy aquifer influx model. The p D solution for pseudosteadystate flow is already presented in the text.…”

Section: Discussionmentioning

confidence: 99%

Material-Balance Analysis of Gas Reservoirs with Diverse Drive Mechanisms

Kabir

Parekh

Mustafa

2015

SPE Annual Technical Conference and Exhibition

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Material-balance (MB) analysis for in-place volume estimation in gas reservoirs has been in practice for decades. Nonlinear responses from geopressure reservoirs with or without aquifer influx present special interpretation challenges. One of the main challenges of in-place volume estimates involves the estimation of average-reservoir pressure with production. To that end, modern pressure sensors installed at bottomhole and/or surface largely help establish a given well's dynamic performance by way of rate-transient analysis.This paper explores the applicability and limitations of the standard analytical tools in volumetric, geopressure, and waterdrive systems for a diverse array of fluids, from dry gas to near-critical gas/ condensate. The systematic approach presented in this paper attempts to increase accuracy in results by ensuring consistency in solutions from multiple methods used to first assess the average-reservoir pressure from production performance data, followed by in-place volume estimation. In this context, we examined analytical tools, such as the p av /z vs. cumulative gas production (G p ) plot, and cumulative reservoir voidage vs. cumulative total expansion plot. Both pot aquifer and unsteady-state Carter-Tracy aquifer models were considered to account for water influx. Besides the use of Cole and drive indices plots, two diagnostic log-log plots are introduced involving total expansivity and change in average-reservoir pressure. In addition, we sought solution objectivity by introducing a diagnostic tool in the Walsh and Yildiz-McEwen MB plots. Both MB methods involve plotting of cumulative reservoir voidage (F) vs. cumulative total expansion (E t ), whereas the diagnostic tool consists of plotting F/E t vs. E t on the same graph.Initially, synthetic data helped us understand the overall system behavior and instilled confidence in the solutions obtained for various combinations of drive mechanisms. Statistical design of experiments prompted us to explore independent variables, such as aquifer-to-hydrocarbon PV ratio, production rate, degree of overpressure, and the aquifer source. Those learnings were validated with published and new field data encompassing an array of reservoirs with various drive mechanisms and fluid type.

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“…According to Havlena and Odeh [11,22,23] the parameters which constitute this equation ( 23) plotted on a two-axis Cartesian graph can better characterize the aquifer and allow to find the Original Oil in Place (N).…”

Section: ¥-+ I -+ I ¡-= 100%mentioning

confidence: 99%

Assessment of Aquifer Performance for Oil Drainage in the Upper Pinda Reservoir of the Mibale Field

Jean¹,

Bruno²,

Dominique³

et al. 2021

PSE

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The Mibale field in offsore of the DRC has been producing oil since 1976. This field is faced with the arrival of massive water and the depletion of its reservoir leading to the drop in its oil production, while the injection of water is effective for several decades. Understanding the behavior of the aquifer in this reservoir is a solution to the application of effective water flooding for oil drainage to this field. The objective pursued in this study is to evaluate the performance of the aquifer on the basis of the material balance equation, to understand its behavior in maintaining or not the pressure in this reservoir in order to identify the causes related to this depletion and the influx of water despite the application of water flooding techniques. To reach this goal, the data collection during the internship made it possible to analyze and process this data using professional software. The results show that the overall drainage index of the water drainage mechanism is 84% (due to 20% for the aquifer alone and 64% for the water flooding) and 10% of oil compressibility. (IDOI), 6% of dissolved gas segregation (IDS). Reserves in this reservoir are estimated at 4.5 million barrels. The aquifer is inactive, semi-radial linear with a constant (U) estimated at 595.5 barrels per psi (bbl / psi) and an initial volume (WI) of 347.1 million barrels (Mbbl). Cumulative contributions from this aquifer are estimated at 173,868,933 barrels for the last 42 years of operation. This aquifer alone has no influence on the inflow of water and the maintenance of pressure, but its influence increases with water from injection wells. In conclusion, this inactive aquifer is located in the carbonate Karst of Upper Pinda to the north of the deposit. Being inactive, this aquifer is not at the origin of breakthrough or coning water acting in this field. It is likely that this phenomenon is amplified by water flooding. Which allows us to classify water flooding technology among aquifer drainage mechanisms; since this significantly activates the behavior of the aquifer and has the same effects as the aquifer.

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Water Influx, and Its Effect on Oil Recovery: Part 1. Aquifer Flow, SUPRI TR-103

Cited by 3 publications

References 8 publications

Material-balance analysis of gas and gas-condensate reservoirs with diverse drive mechanisms

Material-balance analysis of gas and gas-condensate reservoirs with diverse drive mechanisms

Material-Balance Analysis of Gas Reservoirs with Diverse Drive Mechanisms

Assessment of Aquifer Performance for Oil Drainage in the Upper Pinda Reservoir of the Mibale Field

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