Seismic Attribute-Constrained Stratigraphic Drill Ability Modeling Method

authored by: Ding Yan, Cui Meng, Cui Yi, Gao Reyu, Wang Ge, Zhao Fei
Abstract: In deep and ultra-deep complex formations, strong heterogeneity poses challenges to predictability. The acquisition, transmission, and integration of formation-engineering data are complex, influenced by intricate subsurface conditions. Additionally, the accuracy of physical modeling for drill ability of formations is constrained, and the uncertainty in rock-breaking mechanics further complicates matters. Traditional spatial interpolation methods struggle to ensure modeling accuracy, especially in cases of abrupt changes in formations. To address these challenges, this paper proposes an attribute-constrained method for modeling formation drill ability based on seismic and borehole data. Under the constraint of seismic attributes, the limited drill ability information from wells is interpolated and extrapolated according to the geological “facies” characteristics represented by attribute descriptions. A three-dimensional formation drill ability model is established, providing a better simulation of variations and uncertainties in deep formations.
Organisation(s): Institute of Continuum Mechanics
External Organisation(s): Research Institute of Petroleum Exploration and Development
Type: Conference contribution
Pages: 975-983
No. of pages: 9
Publication date: 2025
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Mechanics of Materials, Mechanical Engineering
Electronic version(s): https://doi.org/10.1007/978-3-031-77489-8_76 (Access: Closed)
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{49effeffef474b4b8cd3c073bf97ca3d,
title = "Seismic Attribute-Constrained Stratigraphic Drill Ability Modeling Method",
abstract = "In deep and ultra-deep complex formations, strong heterogeneity poses challenges to predictability. The acquisition, transmission, and integration of formation-engineering data are complex, influenced by intricate subsurface conditions. Additionally, the accuracy of physical modeling for drill ability of formations is constrained, and the uncertainty in rock-breaking mechanics further complicates matters. Traditional spatial interpolation methods struggle to ensure modeling accuracy, especially in cases of abrupt changes in formations. To address these challenges, this paper proposes an attribute-constrained method for modeling formation drill ability based on seismic and borehole data. Under the constraint of seismic attributes, the limited drill ability information from wells is interpolated and extrapolated according to the geological “facies” characteristics represented by attribute descriptions. A three-dimensional formation drill ability model is established, providing a better simulation of variations and uncertainties in deep formations.",
keywords = "attribute-constrained interpolation, formation drill ability, Seismic attributes, spatial modeling",
author = "Ding Yan and Cui Meng and Cui Yi and Gao Reyu and Wang Ge and Zhao Fei",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 30th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2024 ; Conference date: 03-08-2024 Through 06-08-2024",
year = "2025",
doi = "10.1007/978-3-031-77489-8_76",
language = "English",
isbn = "9783031774881",
series = "Mechanisms and Machine Science",
publisher = "Springer Science and Business Media B.V.",
pages = "975--983",
editor = "Kun Zhou",
booktitle = "Computational and Experimental Simulations in Engineering",
address = "Germany",
}