Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Silva, M. F.; Muradov, Khafiz; Carvalho, Márcio S.

doi:10.2118/153530-ms

Cited by 4 publications

References 29 publications

(23 reference statements)

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Principal component analysis-assisted selection of optimal denoising method for oil well transient data

Zhang

Muradov

Dada

2020

J Petrol Explor Prod Technol

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Oil and gas production wells are often equipped with modern, permanent or temporary in-well monitoring systems, either electronic or fiber-optic, typically for measurement of downhole pressure and temperature. Consequently, novel methods of pressure and temperature transient analysis (PTTA) have emerged in the past two decades, able to interpret subtle thermodynamic effects. Such analysis demands high-quality data. High-level reduction in data noise is often needed in order to ensure sufficient reliability of the PTTA. This paper considers the case of a state-of-the-art intelligent well equipped with fiber-optic, high-precision, permanent downhole gauges. This is followed by screening, development, verification and application of data denoising methods that can overcome the limitation of the existing noise reduction methods. Firstly, the specific types of noise contained in the original data are analyzed by wavelet transform, and the corresponding denoising methods are selected on the basis of the wavelet analysis. Then, the wavelet threshold denoising method is used for the data with white noise and white Gaussian noise, while a data smoothing method is used for the data with impulse noise. The paper further proposes a comprehensive evaluation index as a useful denoising success metrics for optimal selection of the optimal combination of the noise reduction methods. This metrics comprises a weighted combination of the signal-to-noise ratio and smoothness value where the principal component analysis was used to determine the weights. Thus the workflow proposed here can be comprehensively defined solely by the data via its processing and analysis. Finally, the effectiveness of the optimal selection methods is confirmed by the robustness of the PTTA results derived from the de-noised measurements from the above-mentioned oil wells.

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Principal component analysis-assisted selection of optimal denoising method for oil well transient data

Zhang

Muradov

Dada

2020

J Petrol Explor Prod Technol

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Field Study of Temperature Simulators Application for Quantitative Interpretation of Transient Thermal Logging in a Multipay Well

et al. 2014

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Temperature wellbore studies are widely applied for well testing and logging at the stages of exploration and development. However, in nowadays practice the interpretation is still done mainly qualitatively. In last few years different approaches to joint interpretation of temperature along with pressure and flow rates are discussed more and more widely. In particular, there is a special interest in determination of flow profile and individual properties of near-wellbore zone of perforated wells in multi-layer reservoirs from analysis of transient temperature and pressure during different transitional regimes.In this work an application of mathematical modeling to quantitative interpretation of field temperature data from multi-layer wells is discussed.For assessing flow rates and hydrodynamic parameter of individual layers of a multi-layer well, different approaches to inverse problem solution are analyzed. It is pointed out that for reaching higher reliability it is necessary to use for interpretation all available field data, including unsteady temperature logging data. Reasons of disagreement between field and simulation data are discussed.The analysis of uncertainties arising in interpreting data from deviated wells is presented that indicates necessity to apply additional methods of analysis. It is shown that making use of supplementary simulations allows reaching better agreement between field and simulation data.Therefore, the complex approach to interpretation of thermal logging data comprising application of sophisticated numerical temperature simulators to interpretation of the full available field data set of temperature logs and fixed-depth measurements accompanied by uncertainty analysis allows, on the one hand, to increase reliability of qualitative interpretation results and, on the other, to provide quantitative analysis of flow profiles and hydrodynamic properties of multi-layer well.

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Interpretation of Non-Isothermal Testing Data based on the Numerical Simulation

et al. 2015

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The goal of this paper is demonstration of an approach to enhancing reliability of quantitative interpretation of well tests data. The new approach comprises joint interpretation of transient temperature, pressure and flow rate data taking into account flow rate history before the test. It provides additional information about near-wellbore zone, flow profiles and hydrodynamic properties of a multilayer reservoir. The transient model for solving the coupled thermal-hydraulic problems in the reservoir, formation, and wellbore is described in the paper. It takes into account heat convection and conduction, Joule-Thomson, adiabatic effects, thermal effect caused by degassing as well as mixing of fluids in the well, heat transfer between wellbore fluid and formation, frictional heat release and thermal effect of fluid compression or expansion. This model allows simulating flow behind casing, crossflows during shut-in and different properties of the near-wellbore zone. Transient temperature and pressure fields, and temperature profiles along the wellbore are simulated for a given flow rate history. The model parameters are determined by solving the inverse problem based on a comparison of simulated temperature data with measurements in the wellbore. Application of new approach to quantitative interpretation of well test data and developed transient numerical code are demonstrated on the example of field data from the Bashneft - Polus oil well. The data from production logging during flow at different choke sizes and transient station measurements of temperature and pressure after change of regimes are available and simulated with the developed code. Standard Pressure Transient Analysis (PTA) was used for pressure and flow rate data interpretation, while available temperature measurements were simulated with a numerical code developed for solving the coupled thermal-hydraulic multiphase problems by Bashkir State University and Schlumberger Moscow Research center. The paper demonstrates the results of quantitative interpretation of the field data and sensitivity study of the model parameters to uncertainties in measurements, flow rate history, thermal properties and other input data.

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Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Cited by 4 publications

References 29 publications

Principal component analysis-assisted selection of optimal denoising method for oil well transient data

Principal component analysis-assisted selection of optimal denoising method for oil well transient data

Field Study of Temperature Simulators Application for Quantitative Interpretation of Transient Thermal Logging in a Multipay Well

Interpretation of Non-Isothermal Testing Data based on the Numerical Simulation

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