Reservoir Description from Well Test Interpretation

Du, Kuifu; Stewart, George

doi:10.1007/978-94-011-0896-6_31

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…This marks the beginning of numerical well testing in the industry by Zheng (2006). This approach started from the early 1990s (Horne and Temeng, 1981;Ayestaran et al, 1989;Massonnat and Bandiziol, 1991;Du and Stewart, 1994;Zheng et al, 1997). More advances were made by Zheng (2006) providing more solutions to the non-unique solution problems in heterogeneous reservoir through numerical well testing, thereby promoting its application.…”

Section: Introductionmentioning

confidence: 99%

A new approach in pressure transient analysis part I: improved diagnosis of flow regimes in oil and gas wells

Biu

Zheng

2016

IJPE

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This paper introduces the statistical method for diagnosing flow regimes for flowing and shut-in conditions. The method utilise the second differencing of pressure change and time that are stationary; then integrate the residual pressure differences using simple statistical tools such as sum of square error SSE, moving average MA and covariance of data to formulate the statistical derivative models. These models are tested with constant pressure, constant rate conditions and in well with high water production. Results from three scenarios investigated demonstrated that the statistical derivatives yielded much clearer reservoir radial flow regimes as the conventional pressure derivatives without data smoothing; therefore give more confident formation permeability estimation. It demonstrated that for high water production well, a good radial stabilisation can be identified. It also showed that in all three scenarios, the drawdown radial fingerprint can be replicated in the build-up pressure responses, hence a good match of the data.

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Section: Introductionmentioning

confidence: 99%

A new approach in pressure transient analysis part I: improved diagnosis of flow regimes in oil and gas wells

Biu

Zheng

2016

IJPE

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“…This marks the beginning of numerical welltesting in the industry by Zheng [16]. This approach started from the early 1990s [17][18][19][20][21] More advances were made by Zheng [16] providing more solutions to the non-unique solution problems in heterogeneous reservoir through numerical welltesting, thereby promoting its application. More papers have been published by researchers on the subject reflecting the advancement of numerical well testing and its application in solving various reservoirs engineering practical problem.…”

Section: Introductionmentioning

confidence: 99%

A New Approach in Pressure Transient Analysis Part I: Improved Diagnosis of Flow Regimes in Oil and Gas Wells

Zheng

2015

J Pet Environ Biotechnol

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One important limitation of pressure derivatives is diagnosing flow regimes in wells with high water cut and flowing conditions (Drawdown) because the well production are never stable due to surface operating constraint including multiphase metering problem and fluid compressibility, hence most drawdown are not easily interpretable due to noisy data. In some cases where the data are useful, the derivative data are always noisy and difficult to interpret, resulting in the application of deconvolution and various smoothing techniques to obtain a perceived representative model which often time might not. This paper introduces a new statistical method for diagnosing flow regime for both flowing and shut-in conditions. The method utilize the second differencing of pressure and time parameters since pressure change and subsurface flow rate is non-stationary and then integrate the residual pressure differences using simple statistical tools such as sum of square error SSE, moving average MA and covariance of data to formulate the statistical derivative model. The model is tested with constant pressure, constant rate conditions and also in well with high water production Results from three scenarios investigated shows the statistical derivative display distinctive radial flow fingerprint as the conventional pressure derivative with clear reservoir features revealed with high degree of accuracy. It demonstrated that for high water production well, a good radial stabilization can be identified for good permeability estimation without smoothing the data. It also showed that in all three scenarios, the drawdown radial fingerprint can be replicated in the build-up pressure responses, hence a good match of the data. The approach also reduces the derivative noise in the radial flowing period for better interpretation of flow regimes.

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“…This approach started from the early 1990s (Horne and Temeng, 1981;Ayestaran et al, 1989;Massonnat and Bandiziol, 1991;Du and Stewart, 1994;Zheng et al, 1996;Corbett et al, 1996;Zheng, 1997). In this approach, a well test model is constructed by integration of disciplines involved; the field well test schedule is performed in order to reproduce the testing data.…”

Section: Introductionmentioning

confidence: 99%

Fighting Against Nonunique-Solution Problems in Heterogeneous Reservoirs Through Numerical Well Testing

Zheng¹

2006

Proceedings of SPE Asia Pacific Oil &Amp; Gas Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractNumerical well testing started in about a decade ago. The technique was developed to tackle well testing problems in heterogeneous reservoirs. Integration of geoscience and well testing for improved fluvial reservoir characterisation was the first project of this kind supported by the oil industry that time. When approaching non-unique solution problems in heterogeneous reservoirs, the traditional analytical approach based on the ideal reservoir conditions failed. An option to get an approximate solution for the problem is to solve the nonlinear pressure diffusivity equation through well test numerical modelling and simulation. Well test analysis and interpretation conducted on this basis is called numerical well testing. This technique has been proved, through study and research in the past few years, to be an effective way to solve the problems not only for single phase flow in heterogeneous formation, but also for multi-phase (heterogeneous fluid properties) flow in heterogeneous formation. This paper will present study result and new development in numerical well testing in recent years. These are based on research and studies from a number of M.Sc. and M.Phil. projects at Heriot-Watt University. Due to the continuous support from the oil industry since the fluvial reservoir characterisation project, numerical well testing has been extensively conducted in the Institute of Petroleum Engineering at Heriot-Watt University. This technique has been used to tackle well testing practical problems as well as for academic research. There will be five aspects to be covered in this paper. These are:• Numerical well testing forward modelling • Numerical well testing for reservoir model calibration • Numerical well testing for future production forecast (well test design)• Numerical well testing for reservoir monitoring • Numerical well testing in heterogeneous reservoir saturated with heterogeneous fluids (multi-phase, e.g. gascondensate reservoirs)Case studies and filed examples selected for this paper will be used to demonstrate procedures; methods developed and illustrate field applications.

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Reservoir Description from Well Test Interpretation

Cited by 10 publications

References 9 publications

A new approach in pressure transient analysis part I: improved diagnosis of flow regimes in oil and gas wells

A new approach in pressure transient analysis part I: improved diagnosis of flow regimes in oil and gas wells

A New Approach in Pressure Transient Analysis Part I: Improved Diagnosis of Flow Regimes in Oil and Gas Wells

Fighting Against Nonunique-Solution Problems in Heterogeneous Reservoirs Through Numerical Well Testing

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