A Method for Enhancing the Simulation Continuity of the Snesim Algorithm in 2D Using Multiple Search Trees

Chuanyou Zhou (), Yongming He, Lu Wang, Shaohua Li, Siyu Yu, Yisheng Liu and Wei Dong
Additional contact information
Chuanyou Zhou: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Yongming He: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Lu Wang: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Shaohua Li: School of Geosciences, Yangtze University, Wuhan 430100, China
Siyu Yu: School of Geosciences, Yangtze University, Wuhan 430100, China
Yisheng Liu: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Wei Dong: College of Energy, Chengdu University of Technology, Chengdu 610059, China

Energies, 2024, vol. 17, issue 5, 1-19

Abstract: Multiple-point geostatistics (MPS) has more advantages than two-point geostatistics in reproducing the continuity of geobodies in subsurface reservoir modeling. For fluvial reservoir modeling, the more continuous a channel, the more consistent it is with geological knowledge in general, and fluvial continuity is also of paramount importance when simulating fluid flow. Based on the pixel-based MPS algorithm Snesim, this study proposes a method that utilizes multiple search trees (MSTs) to enhance simulation continuity in 2D fluvial reservoir modeling. The objective of the MST method is to capture complete data events from a training image (TI), which aims to achieve enhanced continuity in fluvial reservoir sublayer modeling. By resorting to search neighborhoods based on their proximity to the central node of the data template, multiple data templates that correspond to the MSTs will be generated. Here, four data templates were generated by arranging the relative search neighborhood coordinates in ascending and descending order with respect to the central node. Parallel computing was tried for the construction of the search trees. This work calculated the conditional probability distribution function (CPDF) of the simulating nodes by averaging the CPDFs derived from the MSTs, and double retrieval was employed to filter out the search trees that possessed an inaccurate local CPDF for the simulating nodes. In addition, the connected component labeling (CCL) method was introduced to evaluate the simulation continuity in MPS. The results indicated that the MST method can enhance the simulation continuity of the Snesim algorithm by reproducing the fine connectivity of channel facies in 2D fluvial reservoir modeling.

Keywords: multipoint geostatistical modeling; Snesim; search tree; conditional probability distribution function; simulation continuity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/5/1022/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/5/1022/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:5:p:1022-:d:1343517

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().