Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898885722> ?p ?o ?g. }
- W2898885722 endingPage "9340" @default.
- W2898885722 startingPage "9324" @default.
- W2898885722 abstract "Abstract Information on structural features of a fracture network at early stages of Enhanced Geothermal System development is mostly restricted to borehole images and, if available, outcrop data. However, using this information to image discontinuities in deep reservoirs is difficult. Wellbore failure data provides only some information on components of the in situ stress state and its heterogeneity. Our working hypothesis is that slip on natural fractures primarily controls these stress heterogeneities. Based on this, we introduce stress‐based tomography in a Bayesian framework to characterize the fracture network and its heterogeneity in potential Enhanced Geothermal System reservoirs. In this procedure, first a random initial discrete fracture network (DFN) realization is generated based on prior information about the network. The observations needed to calibrate the DFN are based on local variations of the orientation and magnitude of at least one principal stress component along boreholes. A Markov Chain Monte Carlo sequence is employed to update the DFN iteratively by a fracture translation within the domain. The Markov sequence compares the simulated stress profile with the observed stress profiles in the borehole, evaluates each iteration with Metropolis‐Hastings acceptance criteria, and stores acceptable DFN realizations in an ensemble. Finally, this obtained ensemble is used to visualize the potential occurrence of fractures in a probability map, indicating possible fracture locations and lengths. We test this methodology to reconstruct simple synthetic and more complex outcrop‐based fracture networks and successfully image the significant fractures in the domain." @default.
- W2898885722 created "2018-11-09" @default.
- W2898885722 creator A5000598970 @default.
- W2898885722 creator A5018402520 @default.
- W2898885722 creator A5034832025 @default.
- W2898885722 creator A5060566345 @default.
- W2898885722 creator A5072646244 @default.
- W2898885722 creator A5086361594 @default.
- W2898885722 date "2018-11-01" @default.
- W2898885722 modified "2023-09-28" @default.
- W2898885722 title "Fracture Network Characterization Using Stress‐Based Tomography" @default.
- W2898885722 cites W1589615196 @default.
- W2898885722 cites W1597239557 @default.
- W2898885722 cites W1628330510 @default.
- W2898885722 cites W1645383175 @default.
- W2898885722 cites W1842220010 @default.
- W2898885722 cites W1919967572 @default.
- W2898885722 cites W1968933591 @default.
- W2898885722 cites W1971494972 @default.
- W2898885722 cites W1972326999 @default.
- W2898885722 cites W1976980828 @default.
- W2898885722 cites W1987042167 @default.
- W2898885722 cites W1996829128 @default.
- W2898885722 cites W1998898794 @default.
- W2898885722 cites W2016094430 @default.
- W2898885722 cites W2023667203 @default.
- W2898885722 cites W2039002285 @default.
- W2898885722 cites W2041307537 @default.
- W2898885722 cites W2044686992 @default.
- W2898885722 cites W2051875053 @default.
- W2898885722 cites W2060614959 @default.
- W2898885722 cites W2066155059 @default.
- W2898885722 cites W2072591588 @default.
- W2898885722 cites W2075038261 @default.
- W2898885722 cites W2075934546 @default.
- W2898885722 cites W2079043335 @default.
- W2898885722 cites W2086326746 @default.
- W2898885722 cites W2095203129 @default.
- W2898885722 cites W2095235936 @default.
- W2898885722 cites W2100756602 @default.
- W2898885722 cites W2105092475 @default.
- W2898885722 cites W2113559499 @default.
- W2898885722 cites W2115252299 @default.
- W2898885722 cites W2116076120 @default.
- W2898885722 cites W2123348268 @default.
- W2898885722 cites W2127534363 @default.
- W2898885722 cites W2139139371 @default.
- W2898885722 cites W2156227563 @default.
- W2898885722 cites W2161903948 @default.
- W2898885722 cites W2163174098 @default.
- W2898885722 cites W217022991 @default.
- W2898885722 cites W2259817938 @default.
- W2898885722 cites W2401024788 @default.
- W2898885722 cites W2483284175 @default.
- W2898885722 cites W2485881327 @default.
- W2898885722 cites W2499126746 @default.
- W2898885722 cites W2565321083 @default.
- W2898885722 cites W2606750437 @default.
- W2898885722 cites W2623714173 @default.
- W2898885722 cites W2732477057 @default.
- W2898885722 cites W2740388777 @default.
- W2898885722 cites W2751364937 @default.
- W2898885722 cites W2768602003 @default.
- W2898885722 cites W2783235046 @default.
- W2898885722 cites W2795265422 @default.
- W2898885722 cites W2874528452 @default.
- W2898885722 cites W4293101087 @default.
- W2898885722 cites W609086142 @default.
- W2898885722 cites W621546036 @default.
- W2898885722 doi "https://doi.org/10.1029/2018jb016438" @default.
- W2898885722 hasPublicationYear "2018" @default.
- W2898885722 type Work @default.
- W2898885722 sameAs 2898885722 @default.
- W2898885722 citedByCount "16" @default.
- W2898885722 countsByYear W28988857222019 @default.
- W2898885722 countsByYear W28988857222021 @default.
- W2898885722 countsByYear W28988857222022 @default.
- W2898885722 countsByYear W28988857222023 @default.
- W2898885722 crossrefType "journal-article" @default.
- W2898885722 hasAuthorship W2898885722A5000598970 @default.
- W2898885722 hasAuthorship W2898885722A5018402520 @default.
- W2898885722 hasAuthorship W2898885722A5034832025 @default.
- W2898885722 hasAuthorship W2898885722A5060566345 @default.
- W2898885722 hasAuthorship W2898885722A5072646244 @default.
- W2898885722 hasAuthorship W2898885722A5086361594 @default.
- W2898885722 hasBestOaLocation W28988857221 @default.
- W2898885722 hasConcept C107673813 @default.
- W2898885722 hasConcept C111350023 @default.
- W2898885722 hasConcept C111766609 @default.
- W2898885722 hasConcept C11413529 @default.
- W2898885722 hasConcept C127313418 @default.
- W2898885722 hasConcept C134306372 @default.
- W2898885722 hasConcept C150560799 @default.
- W2898885722 hasConcept C154945302 @default.
- W2898885722 hasConcept C15627037 @default.
- W2898885722 hasConcept C187320778 @default.
- W2898885722 hasConcept C33923547 @default.
- W2898885722 hasConcept C41008148 @default.