A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data

This article presents a new analytical procedure for pre-selecting gas wells for water shut-off treatments based on available at hand results of an analysis of integrated geological, reservoir and exploitation data. Attention was paid to assess the possibility of the appearance of cross flows betwee...

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Autores principales: Sławomir Falkowicz, Andrzej Urbaniec, Marek Stadtműller, Marcin Majkrzak
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:401ce2fd12c74c88bf72872e38982e3b2021-11-11T16:02:56ZA New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data10.3390/en142173161996-1073https://doaj.org/article/401ce2fd12c74c88bf72872e38982e3b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7316https://doaj.org/toc/1996-1073This article presents a new analytical procedure for pre-selecting gas wells for water shut-off treatments based on available at hand results of an analysis of integrated geological, reservoir and exploitation data. Attention was paid to assess the possibility of the appearance of cross flows between layers in the near wellbore zone. Their appearance always eliminated the well as a candidate for the treatment. The basis for assessing the possibility of the emergence of cross flows was based on the assessment of the presence or absence of impermeable barriers (e.g., shales or anhydrite) in intervals, completed by perforation. For this assessment, well logging data were used, which were carried out in different years with the use of various types of probes. Based on modified quantitative and qualitative interpretation techniques, permeable and impermeable layers were separated in the analysed borehole sections. In some cases, in the absence of other data, well logs are the only source of information from which a vertical profile of horizontal permeability can be made. The article describes the verification process carried out for the eight wells situated in the area of the Carpathian Foredeep, which have been preselected by the operator. As part of this procedure, the available geological, reservoir and exploitation data were used, and a preliminary assessment of the possibility of implementing the obtained results into other wells and gas fields in the area of the Carpathian Foredeep was carried out. On the basis of the well ranking, two out of the eight analysed wells were recommended as candidates for water shut-off treatment.Sławomir FalkowiczAndrzej UrbaniecMarek StadtműllerMarcin MajkrzakMDPI AGarticlewater shut-off treatmentgas productionwater-gas ratio (WGR)formation permeabilitywell logging data quality and quantity interpretationgas well rankingTechnologyTENEnergies, Vol 14, Iss 7316, p 7316 (2021)
institution DOAJ
collection DOAJ
language EN
topic water shut-off treatment
gas production
water-gas ratio (WGR)
formation permeability
well logging data quality and quantity interpretation
gas well ranking
Technology
T
spellingShingle water shut-off treatment
gas production
water-gas ratio (WGR)
formation permeability
well logging data quality and quantity interpretation
gas well ranking
Technology
T
Sławomir Falkowicz
Andrzej Urbaniec
Marek Stadtműller
Marcin Majkrzak
A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
description This article presents a new analytical procedure for pre-selecting gas wells for water shut-off treatments based on available at hand results of an analysis of integrated geological, reservoir and exploitation data. Attention was paid to assess the possibility of the appearance of cross flows between layers in the near wellbore zone. Their appearance always eliminated the well as a candidate for the treatment. The basis for assessing the possibility of the emergence of cross flows was based on the assessment of the presence or absence of impermeable barriers (e.g., shales or anhydrite) in intervals, completed by perforation. For this assessment, well logging data were used, which were carried out in different years with the use of various types of probes. Based on modified quantitative and qualitative interpretation techniques, permeable and impermeable layers were separated in the analysed borehole sections. In some cases, in the absence of other data, well logs are the only source of information from which a vertical profile of horizontal permeability can be made. The article describes the verification process carried out for the eight wells situated in the area of the Carpathian Foredeep, which have been preselected by the operator. As part of this procedure, the available geological, reservoir and exploitation data were used, and a preliminary assessment of the possibility of implementing the obtained results into other wells and gas fields in the area of the Carpathian Foredeep was carried out. On the basis of the well ranking, two out of the eight analysed wells were recommended as candidates for water shut-off treatment.
format article
author Sławomir Falkowicz
Andrzej Urbaniec
Marek Stadtműller
Marcin Majkrzak
author_facet Sławomir Falkowicz
Andrzej Urbaniec
Marek Stadtműller
Marcin Majkrzak
author_sort Sławomir Falkowicz
title A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
title_short A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
title_full A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
title_fullStr A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
title_full_unstemmed A New Strategy for Pre-Selecting Gas Wells for the Water Shut-Off Treatment Based on Geological Integrated Data
title_sort new strategy for pre-selecting gas wells for the water shut-off treatment based on geological integrated data
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/401ce2fd12c74c88bf72872e38982e3b
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