An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China

Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness, an intelligent automatic correlation method of oil-bearing strata based on p...

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Main Authors: Degang WU, Shenghe WU, Lei LIU, Yide SUN
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-02-01
Series:Petroleum Exploration and Development
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1876380424600157
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author Degang WU
Shenghe WU
Lei LIU
Yide SUN
author_facet Degang WU
Shenghe WU
Lei LIU
Yide SUN
author_sort Degang WU
collection DOAJ
description Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness, an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed. We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata, constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each strata. The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%, and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results, which is about 17 percentage points higher than that of the existing automatic correlation methods. The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.
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spelling doaj.art-446a6f6632d84af0af27f01d5205bcca2024-02-18T04:39:37ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042024-02-01511180192An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East ChinaDegang WU0Shenghe WU1Lei LIU2Yide SUN3College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China; College of Geosciences, China University of Petroleum (Beijing), Beijing 102249, ChinaCollege of Geosciences, China University of Petroleum (Beijing), Beijing 102249, China; Corresponding authorCollege of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, ChinaOil and Gas Development Management Center of Shengli Oilfield, Dongying 257000, ChinaAiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness, an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed. We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata, constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each strata. The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%, and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results, which is about 17 percentage points higher than that of the existing automatic correlation methods. The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.http://www.sciencedirect.com/science/article/pii/S1876380424600157oil-bearing strataautomatic correlationcontrastive learningstratigraphic sedimentary patternmarker layersimilarity measuring machine
spellingShingle Degang WU
Shenghe WU
Lei LIU
Yide SUN
An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
Petroleum Exploration and Development
oil-bearing strata
automatic correlation
contrastive learning
stratigraphic sedimentary pattern
marker layer
similarity measuring machine
title An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
title_full An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
title_fullStr An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
title_full_unstemmed An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
title_short An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China
title_sort intelligent automatic correlation method of oil bearing strata based on pattern constraints an example of accretionary stratigraphy of shishen 100 block in shinan oilfield of bohai bay basin east china
topic oil-bearing strata
automatic correlation
contrastive learning
stratigraphic sedimentary pattern
marker layer
similarity measuring machine
url http://www.sciencedirect.com/science/article/pii/S1876380424600157
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