The performance of stochastic designs in wellbore drilling operations

Abstract Wellbore drilling operations frequently entail the combination of a wide range of variables. This is underpinned by the numerous factors that must be considered in order to ensure safety and productivity. The heterogeneity and sometimes unpredictable behaviour of underground systems increas...

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Autores principales:	Kenneth Imo-Imo Eshiet, Yong Sheng
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2018
Materias:	Well stability Stochastic analysis Deterministic analysis Mud pressure Safe mud window Wellbore drilling Science Q Petrology QE420-499
Acceso en línea:	https://doaj.org/article/99b0caaca2974723911b119da90372cb
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spelling	oai:doaj.org-article:99b0caaca2974723911b119da90372cb2021-12-02T06:31:10ZThe performance of stochastic designs in wellbore drilling operations10.1007/s12182-018-0219-01672-51071995-8226https://doaj.org/article/99b0caaca2974723911b119da90372cb2018-04-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-018-0219-0https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract Wellbore drilling operations frequently entail the combination of a wide range of variables. This is underpinned by the numerous factors that must be considered in order to ensure safety and productivity. The heterogeneity and sometimes unpredictable behaviour of underground systems increases the sensitivity of drilling activities. Quite often the operating parameters are set to certify effective and efficient working processes. However, failings in the management of drilling and operating conditions sometimes result in catastrophes such as well collapse or fluid loss. This study investigates the hypothesis that optimising drilling parameters, for instance mud pressure, is crucial if the margin of safe operating conditions is to be properly defined. This was conducted via two main stages: first a deterministic analysis—where the operating conditions are predicted by conventional modelling procedures—and then a probabilistic analysis via stochastic simulations—where a window of optimised operation conditions can be obtained. The outcome of additional stochastic analyses can be used to improve results derived from deterministic models. The incorporation of stochastic techniques in the evaluation of wellbore instability indicates that margins of the safe mud weight window are adjustable and can be extended considerably beyond the limits of deterministic predictions. The safe mud window is influenced and hence can also be amended based on the degree of uncertainty and the permissible level of confidence. The refinement of results from deterministic analyses by additional stochastic simulations is vital if a more accurate and reliable representation of safe in situ and operating conditions is to be obtained during wellbore operations.Kenneth Imo-Imo EshietYong ShengKeAi Communications Co., Ltd.articleWell stabilityStochastic analysisDeterministic analysisMud pressureSafe mud windowWellbore drillingScienceQPetrologyQE420-499ENPetroleum Science, Vol 15, Iss 2, Pp 335-365 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Well stability Stochastic analysis Deterministic analysis Mud pressure Safe mud window Wellbore drilling Science Q Petrology QE420-499
spellingShingle	Well stability Stochastic analysis Deterministic analysis Mud pressure Safe mud window Wellbore drilling Science Q Petrology QE420-499 Kenneth Imo-Imo Eshiet Yong Sheng The performance of stochastic designs in wellbore drilling operations
description	Abstract Wellbore drilling operations frequently entail the combination of a wide range of variables. This is underpinned by the numerous factors that must be considered in order to ensure safety and productivity. The heterogeneity and sometimes unpredictable behaviour of underground systems increases the sensitivity of drilling activities. Quite often the operating parameters are set to certify effective and efficient working processes. However, failings in the management of drilling and operating conditions sometimes result in catastrophes such as well collapse or fluid loss. This study investigates the hypothesis that optimising drilling parameters, for instance mud pressure, is crucial if the margin of safe operating conditions is to be properly defined. This was conducted via two main stages: first a deterministic analysis—where the operating conditions are predicted by conventional modelling procedures—and then a probabilistic analysis via stochastic simulations—where a window of optimised operation conditions can be obtained. The outcome of additional stochastic analyses can be used to improve results derived from deterministic models. The incorporation of stochastic techniques in the evaluation of wellbore instability indicates that margins of the safe mud weight window are adjustable and can be extended considerably beyond the limits of deterministic predictions. The safe mud window is influenced and hence can also be amended based on the degree of uncertainty and the permissible level of confidence. The refinement of results from deterministic analyses by additional stochastic simulations is vital if a more accurate and reliable representation of safe in situ and operating conditions is to be obtained during wellbore operations.
format	article
author	Kenneth Imo-Imo Eshiet Yong Sheng
author_facet	Kenneth Imo-Imo Eshiet Yong Sheng
author_sort	Kenneth Imo-Imo Eshiet
title	The performance of stochastic designs in wellbore drilling operations
title_short	The performance of stochastic designs in wellbore drilling operations
title_full	The performance of stochastic designs in wellbore drilling operations
title_fullStr	The performance of stochastic designs in wellbore drilling operations
title_full_unstemmed	The performance of stochastic designs in wellbore drilling operations
title_sort	performance of stochastic designs in wellbore drilling operations
publisher	KeAi Communications Co., Ltd.
publishDate	2018
url	https://doaj.org/article/99b0caaca2974723911b119da90372cb
work_keys_str_mv	AT kennethimoimoeshiet theperformanceofstochasticdesignsinwellboredrillingoperations AT yongsheng theperformanceofstochasticdesignsinwellboredrillingoperations AT kennethimoimoeshiet performanceofstochasticdesignsinwellboredrillingoperations AT yongsheng performanceofstochasticdesignsinwellboredrillingoperations
_version_	1718399890814402560

The performance of stochastic designs in wellbore drilling operations

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