Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)

The problem of determining BHP in production wells not equipped with depth measuring systems, it is relevant for many of the oil fields of Perm Krai. In practice, the absence of special devices for downhole pump bottomhole pressure is determined by converting the dynamic level. With this approach, t...

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Main Author: Irina A. Chernykh
Format: Article
Language:English
Published: Perm National Research Polytechnic University 2016-12-01
Series:Perm Journal of Petroleum and Mining Engineering
Subjects:
Online Access:http://vestnik.pstu.ru/get/_res/fs/file2.pdf/6044/Determination+of+bottomhole+pressure+by+using+multivariate+statistical+models+%28on+example+of+formation+TL-BB+Yurchukskoie+field%29file2.pdf
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author Irina A. Chernykh
author_facet Irina A. Chernykh
author_sort Irina A. Chernykh
collection DOAJ
description The problem of determining BHP in production wells not equipped with depth measuring systems, it is relevant for many of the oil fields of Perm Krai. In practice, the absence of special devices for downhole pump bottomhole pressure is determined by converting the dynamic level. With this approach, the main difficulty is the calculation of the density of the gas-liquid mixture, the accuracy of which is low due to the influence of numerous complicating factors. In this paper the fundamentally different approach to the definition of bottomhole pressure, considered on one of the well equipped with high-precision depth measurement system, of Tl-Bb layer of Yurchukskoe field. The initial data are direct measurements of downhole pressure, as well as a number of other indicators of its operation (flow rates of oil and liquid, water content, dynamic level, the pump depth below the dynamic level, the pressure of the annulus). The first stage analysis of the data led to the conclusion that the bottomhole pressure during the observation period varied, with different directions: the first is gradually reduced, then - increased. In this regard, the study of influence of operating parameters on the value of BHP held for three cases: for the entire period of observation, as well as separately for the period of its decline and the increase. Statistical analysis of the averages and distribution densities possible to identify the parameters that influence the bottomhole pressure, and found that the effect is mixed. At the final stage the multidimensional statistical models that take into account the effect of multidirectional operating indicators BHP have been built. "Functionality" verification of developed models was made on the example of three other wells of the same development object. This verification confirmed the feasibility of using developed models for determining the values of bottomhole pressure from known values of indicators for well operation and all the proposed approach in general.
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spelling doaj.art-41e42dab466445a3b4303919b8cb214c2022-12-22T01:35:37ZengPerm National Research Polytechnic UniversityPerm Journal of Petroleum and Mining Engineering2224-99232305-11402016-12-01152132032810.15593/2224-9923/2016.21.3Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)Irina A. Chernykh0LLC LUKOIL-PERMThe problem of determining BHP in production wells not equipped with depth measuring systems, it is relevant for many of the oil fields of Perm Krai. In practice, the absence of special devices for downhole pump bottomhole pressure is determined by converting the dynamic level. With this approach, the main difficulty is the calculation of the density of the gas-liquid mixture, the accuracy of which is low due to the influence of numerous complicating factors. In this paper the fundamentally different approach to the definition of bottomhole pressure, considered on one of the well equipped with high-precision depth measurement system, of Tl-Bb layer of Yurchukskoe field. The initial data are direct measurements of downhole pressure, as well as a number of other indicators of its operation (flow rates of oil and liquid, water content, dynamic level, the pump depth below the dynamic level, the pressure of the annulus). The first stage analysis of the data led to the conclusion that the bottomhole pressure during the observation period varied, with different directions: the first is gradually reduced, then - increased. In this regard, the study of influence of operating parameters on the value of BHP held for three cases: for the entire period of observation, as well as separately for the period of its decline and the increase. Statistical analysis of the averages and distribution densities possible to identify the parameters that influence the bottomhole pressure, and found that the effect is mixed. At the final stage the multidimensional statistical models that take into account the effect of multidirectional operating indicators BHP have been built. "Functionality" verification of developed models was made on the example of three other wells of the same development object. This verification confirmed the feasibility of using developed models for determining the values of bottomhole pressure from known values of indicators for well operation and all the proposed approach in general.http://vestnik.pstu.ru/get/_res/fs/file2.pdf/6044/Determination+of+bottomhole+pressure+by+using+multivariate+statistical+models+%28on+example+of+formation+TL-BB+Yurchukskoie+field%29file2.pdfwell operation indicatorsbottomhole pressuremechanized wellsunequipped depth measuring systemsmethod of determining bottomhole pressurestatistical analysisfactors affecting the value of bottomhole pressure; correlationstepwise linear discriminant analysislinear discriminant functionmultidimensional mathematical modeldifferent directions of influence factorsregression analysismultiple regressionmodels functionality
spellingShingle Irina A. Chernykh
Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
Perm Journal of Petroleum and Mining Engineering
well operation indicators
bottomhole pressure
mechanized wells
unequipped depth measuring systems
method of determining bottomhole pressure
statistical analysis
factors affecting the value of bottomhole pressure; correlation
stepwise linear discriminant analysis
linear discriminant function
multidimensional mathematical model
different directions of influence factors
regression analysis
multiple regression
models functionality
title Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
title_full Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
title_fullStr Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
title_full_unstemmed Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
title_short Determination of bottomhole pressure by using multivariate statistical models (on example of formation TL-BB Yurchukskoie field)
title_sort determination of bottomhole pressure by using multivariate statistical models on example of formation tl bb yurchukskoie field
topic well operation indicators
bottomhole pressure
mechanized wells
unequipped depth measuring systems
method of determining bottomhole pressure
statistical analysis
factors affecting the value of bottomhole pressure; correlation
stepwise linear discriminant analysis
linear discriminant function
multidimensional mathematical model
different directions of influence factors
regression analysis
multiple regression
models functionality
url http://vestnik.pstu.ru/get/_res/fs/file2.pdf/6044/Determination+of+bottomhole+pressure+by+using+multivariate+statistical+models+%28on+example+of+formation+TL-BB+Yurchukskoie+field%29file2.pdf
work_keys_str_mv AT irinaachernykh determinationofbottomholepressurebyusingmultivariatestatisticalmodelsonexampleofformationtlbbyurchukskoiefield