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Understanding Well, Reservoir Performance With Modern Analytical Techniques

Analytical tools are useful for reservoir management and can provide simplicity while capturing information derived from events occurring at smaller time scales, which are ordinarily sacrificed in numerical simulations to keep run times reasonable. This paper demonstrates the use of a modified Hall analysis (MHA) to evaluate real-time performance of water injectors; reciprocal-productivity index (RPI) to identify time-varying-injection support in a maximum-reservoir-contact (MRC) producer from nearby water injectors; deconvolution and rate-transient analysis (RTA) to determine permeability, skin, and drainage area by use of real-time permanent-downhole-gauge (PDHG) data; and a Y-function based on the Buckley-Leverett (BL) equation and the assumption of a semilog relationship between the oil/water relative permeability ratio and saturation.

Introduction

Reservoir simulation provides a single platform where both static and dynamic data—such as geological, geophysical, and reservoir-fluid and -rock properties—are seamlessly integrated in a numerical model and used for performance prediction. Therefore, numerical simulation is the norm and the preferred tool for reservoir management. Despite many advantages, reservoir simulation normally is not able to account for dynamic changes occurring at smaller scales—for example, changing well conditions such as damage, plugging, and fracturing. In recent years, there has been an increase in the use of analytical tools with simulation models using surveillance data to understand well and reservoir performance.

PDHGs are being installed increasingly across the world, especially in long horizontal and MRC wells for reservoir surveillance and management because of their improved reliability and trouble-free long-term performance. Besides reducing ambiguity and uncertainties in the interpretation, long-term data also provide an insight on how reservoir parameters (e.g., reservoir pressure, effective permeability, and skin) may change as the reservoir is produced. Use of the high-frequency long-term data expands the traditional time scale from snapshot approach to a continuous evaluation without interrupting production. This can lead to real-time production and management decision, resulting in sustained production, recovery optimization, reduced operational expenditure, and maximized life-cycle economics.

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper SPE 165995, “Understanding Well and Reservoir Performance With Modern Analytical Techniques,” by Lakshi Konwar, SPE, Ahmed Mohsin Al Hendi, SPE, and Syed Tariq, SPE, ZADCO, prepared for the 2013 SPE Reservoir Characterization and Simulation Conference and Exhibition, Abu Dhabi, 16–18 September. The paper has not been peer reviewed.
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Understanding Well, Reservoir Performance With Modern Analytical Techniques

01 September 2014

Volume: 66 | Issue: 9

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