Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks

Akshat Chandna, Sanjay Srinivasan

Research output: Chapter in Book/Report/Conference proceedingChapter


Estimation of a reservoir’s production potential, well placement and field development depends largely on accurate modeling of the existing fracture networks. However, there is always significant uncertainty associated with the prediction of spatial location and connectivity of fracture networks due to lack of sufficient data to model them. Therefore, stochastic characterization of these fractured reservoirs becomes necessary.

Original languageEnglish (US)
Title of host publicationSpringer Proceedings in Earth and Environmental Sciences
PublisherSpringer Nature
Number of pages7
StatePublished - 2023

Publication series

NameSpringer Proceedings in Earth and Environmental Sciences
ISSN (Print)2524-342X
ISSN (Electronic)2524-3438

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Environmental Science (miscellaneous)
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)

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