{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T15:06:36Z","timestamp":1771427196426,"version":"3.50.1"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100030707","name":"Stanford Center for Carbon Storage, Stanford University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100030707","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers &amp; Geosciences"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.cageo.2026.106134","type":"journal-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T16:45:26Z","timestamp":1769618726000},"page":"106134","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Prediction of fault slip tendency in CO\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" altimg=\"si3.svg\" display=\"inline\" id=\"d1e880\">\n                      <mml:msub>\n                        <mml:mrow\/>\n                        <mml:mrow>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:msub>\n                    <\/mml:math>\n                    storage using data-space inversion"],"prefix":"10.1016","volume":"210","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3024-1034","authenticated-orcid":false,"given":"Xiaowen","family":"He","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5744-2526","authenticated-orcid":false,"given":"Su","family":"Jiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2733-6543","authenticated-orcid":false,"given":"Louis J.","family":"Durlofsky","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.cageo.2026.106134_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2024.105561","article-title":"Evaluating geophysical monitoring strategies for a CO2 storage project","volume":"185","author":"Anyosa","year":"2024","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b2","series-title":"SPE Reservoir Simulation Conference","article-title":"Fast closed-loop well placement optimization with ensemble-based data-space inversion framework","author":"Barros","year":"2025"},{"key":"10.1016\/j.cageo.2026.106134_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2025.105882","article-title":"Data space inversion for efficient predictions and uncertainty quantification for geothermal models","volume":"197","author":"de Beer","year":"2025","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b4","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ijggc.2014.04.026","article-title":"A risk-based framework for measurement, monitoring and verification of the Quest CCS Project, Alberta, Canada","volume":"26","author":"Bourne","year":"2014","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2021.114111","article-title":"Multigrid reduction preconditioning framework for coupled processes in porous and fractured media","volume":"387","author":"Bui","year":"2021","journal-title":"Comput. Methods Appl. Mech. Engrg."},{"key":"10.1016\/j.cageo.2026.106134_b6","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/978-3-0348-7182-2_4","article-title":"Friction of rocks","author":"Byerlee","year":"1978","journal-title":"Rock Frict. Earthq. Predict."},{"key":"10.1016\/j.cageo.2026.106134_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2024.105755","article-title":"Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation","volume":"194","author":"Di Federico","year":"2025","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b8","doi-asserted-by":"crossref","first-page":"1775","DOI":"10.1016\/j.marpetgeo.2009.12.010","article-title":"Reprint of: Diagenetic controls on evolution of porosity and permeability in lower Tertiary Wilcox sandstones from shallow to ultradeep (200\u20136700 m) burial, Gulf of Mexico Basin, USA","volume":"27","author":"Dutton","year":"2010","journal-title":"Mar. Pet. Geol."},{"key":"10.1016\/j.cageo.2026.106134_b9","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.2118\/2163-PA","article-title":"Fracture gradient prediction and its application in oilfield operations","volume":"21","author":"Eaton","year":"1969","journal-title":"J. Pet. Technol."},{"key":"10.1016\/j.cageo.2026.106134_b10","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.ijggc.2015.06.008","article-title":"Coupled hydro-mechanical processes and fault reactivation induced by CO2 injection in a three-layer storage formation","volume":"39","author":"Figueiredo","year":"2015","journal-title":"Int. J. Greenh. Gas Control."},{"issue":"4","key":"10.1016\/j.cageo.2026.106134_b11","doi-asserted-by":"crossref","first-page":"3340","DOI":"10.1002\/2013JB010679","article-title":"Analysis of fluid injection-induced fault reactivation and seismic slip in geothermal reservoirs","volume":"119","author":"Gan","year":"2014","journal-title":"J. Geophys. Res.: Solid Earth"},{"issue":"2","key":"10.1016\/j.cageo.2026.106134_b12","article-title":"Complexity of fault rupture and fluid leakage in shale: insights from a controlled fault activation experiment","volume":"125","author":"Guglielmi","year":"2020","journal-title":"J. Geophys. Res.: Solid Earth"},{"key":"10.1016\/j.cageo.2026.106134_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.geoen.2024.213589","article-title":"Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations","volume":"246","author":"Han","year":"2025","journal-title":"Geoenergy Sci. Eng."},{"key":"10.1016\/j.cageo.2026.106134_b14","series-title":"SPE Reservoir Simulation Conference","article-title":"Data-space inversion for rapid physics-informed direct forecasting in unconventional reservoirs","author":"Hui","year":"2023"},{"key":"10.1016\/j.cageo.2026.106134_b15","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1130\/G31416.1","article-title":"On the relation between fault strength and frictional stability","volume":"39","author":"Ikari","year":"2011","journal-title":"Geology"},{"key":"10.1016\/j.cageo.2026.106134_b16","doi-asserted-by":"crossref","first-page":"3776","DOI":"10.1002\/2013WR015175","article-title":"Coupled multiphase flow and poromechanics: a computational model of pore pressure effects on fault slip and earthquake triggering","volume":"50","author":"Jha","year":"2014","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.cageo.2026.106134_b17","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s10596-020-10014-1","article-title":"Data-space inversion using a recurrent autoencoder for time-series parameterization","volume":"25","author":"Jiang","year":"2021","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2021.127063","article-title":"Treatment of model error in subsurface flow history matching using a data-space method","volume":"603","author":"Jiang","year":"2021","journal-title":"J. Hydrol."},{"key":"10.1016\/j.cageo.2026.106134_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijggc.2024.104124","article-title":"History matching for geological carbon storage using data-space inversion with spatio-temporal data parameterization","volume":"134","author":"Jiang","year":"2024","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2024.105711","article-title":"Learning CO2 plume migration in faulted reservoirs with graph neural networks","volume":"193","author":"Ju","year":"2024","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b21","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1785\/0220150062","article-title":"Surface monitoring of microseismicity at the Decatur, Illinois, CO2 sequestration demonstration site","volume":"86","author":"Kaven","year":"2015","journal-title":"Seismol. Res. Lett."},{"key":"10.1016\/j.cageo.2026.106134_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.jece.2024.112847","article-title":"Geomechanical modeling of CO2 sequestration: a review focused on CO2 injection and monitoring","volume":"12","author":"Khan","year":"2024","journal-title":"J. Environ. Chem. Eng."},{"key":"10.1016\/j.cageo.2026.106134_b23","series-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2013"},{"key":"10.1016\/j.cageo.2026.106134_b24","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/0009-2541(84)90186-4","article-title":"The occurrence and behavior of radium in saline formation water of the US Gulf Coast region","volume":"46","author":"Kraemer","year":"1984","journal-title":"Chem. Geol."},{"key":"10.1016\/j.cageo.2026.106134_b25","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1007\/s10596-020-09933-w","article-title":"Data-space inversion with ensemble smoother","volume":"24","author":"Lima","year":"2020","journal-title":"Comput. Geosci."},{"issue":"7","key":"10.1016\/j.cageo.2026.106134_b26","article-title":"Geostatistical inversion for subsurface characterization using Stein variational gradient descent with autoencoder neural network: an application to geologic carbon sequestration","volume":"129","author":"Liu","year":"2024","journal-title":"J. Geophys. Res.: Solid Earth"},{"key":"10.1016\/j.cageo.2026.106134_b27","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.ijggc.2018.11.006","article-title":"Analysis of the stress field in the DeSoto canyon salt basin for ensuring safe offshore carbon storage","volume":"79","author":"Meng","year":"2018","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b28","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1130\/0091-7613(1996)024<0275:STAAFR>2.3.CO;2","article-title":"Slip-tendency analysis and fault reactivation","volume":"24","author":"Morris","year":"1996","journal-title":"Geology"},{"key":"10.1016\/j.cageo.2026.106134_b29","series-title":"Applied Geostatistics with SGeMS: A User\u2019s Guide","author":"Remy","year":"2009"},{"key":"10.1016\/j.cageo.2026.106134_b30","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ijggc.2013.11.001","article-title":"Geomechanical effects on CO2 leakage through fault zones during large-scale underground injection","volume":"20","author":"Rinaldi","year":"2014","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b31","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.cageo.2016.09.007","article-title":"An overview of TOUGH-based geomechanics models","volume":"108","author":"Rutqvist","year":"2017","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b32","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1504\/IJRAM.2019.103341","article-title":"Potential technical hazards associated with four North American carbon capture and sequestration projects","volume":"22","author":"Sarkarfarshi","year":"2019","journal-title":"Int. J. Risk Assess. Manag."},{"key":"10.1016\/j.cageo.2026.106134_b33","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijggc.2024.104190","article-title":"AI enhanced data assimilation and uncertainty quantification applied to geological carbon storage","volume":"136","author":"Seabra","year":"2024","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b34","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.ijggc.2012.01.002","article-title":"Assessment of carbon dioxide plume behaviour within the storage reservoir and the lower caprock around the KB-502 injection well at In Salah","volume":"7","author":"Shi","year":"2012","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b35","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijggc.2023.103884","article-title":"Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation","volume":"126","author":"Silva","year":"2023","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.cej.2022.140968","article-title":"Geomechanical challenges during geological CO2 storage: A review","volume":"456","author":"Song","year":"2023","journal-title":"Chem. Eng. J."},{"key":"10.1016\/j.cageo.2026.106134_b37","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/s11004-016-9672-8","article-title":"A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems","volume":"49","author":"Sun","year":"2017","journal-title":"Math. Geosci."},{"key":"10.1016\/j.cageo.2026.106134_b38","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.advwatres.2018.10.028","article-title":"Data-space approaches for uncertainty quantification of CO2 plume location in geological carbon storage","volume":"123","author":"Sun","year":"2019","journal-title":"Adv. Water Resour."},{"key":"10.1016\/j.cageo.2026.106134_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijggc.2025.104404","article-title":"Graph network surrogate model for optimizing the placement of horizontal injection wells for CO2 storage","volume":"145","author":"Tang","year":"2025","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijggc.2022.103692","article-title":"Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration","volume":"118","author":"Tang","year":"2022","journal-title":"Int. J. Greenh. Gas Control."},{"key":"10.1016\/j.cageo.2026.106134_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.jcp.2020.109456","article-title":"A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems","volume":"413","author":"Tang","year":"2020","journal-title":"J. Comput. Phys."},{"key":"10.1016\/j.cageo.2026.106134_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.advwatres.2025.104961","article-title":"Likelihood-free inference and hierarchical data assimilation for geological carbon storage","author":"Teng","year":"2025","journal-title":"Adv. Water Resour."},{"key":"10.1016\/j.cageo.2026.106134_b43","series-title":"ECMOR XIV: 14th European Conference on the Mathematics of Oil Recovery","first-page":"1","article-title":"Geologically consistent seismic history matching workflow for Ekofisk chalk reservoir","author":"Tolstukhin","year":"2014"},{"key":"10.1016\/j.cageo.2026.106134_b44","first-page":"47","article-title":"Dynamic simulation of CO2-injection-induced fault rupture with slip-rate dependent friction coefficient","volume":"7","author":"Urpi","year":"2016","journal-title":"Geomech. Energy Environ."},{"key":"10.1016\/j.cageo.2026.106134_b45","article-title":"Slip tendency analysis, fault reactivation potential and induced seismicity in the Val d\u2019Agri oilfield (Italy)","volume":"126","author":"Vadacca","year":"2021","journal-title":"J. Geophys. Res.: Solid Earth"},{"key":"10.1016\/j.cageo.2026.106134_b46","doi-asserted-by":"crossref","DOI":"10.1016\/j.marpetgeo.2023.106117","article-title":"Geochemistry of oils and condensates from the lower Eagle Ford formation, South Texas. Part 3: Basin modeling","volume":"150","author":"Walters","year":"2023","journal-title":"Mar. Pet. Geol."},{"key":"10.1016\/j.cageo.2026.106134_b47","article-title":"Deep learning framework for history matching CO2 storage with 4D seismic and monitoring well data","author":"Wang","year":"2025","journal-title":"Geoenergy Sci. Eng."},{"key":"10.1016\/j.cageo.2026.106134_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.advwatres.2022.104180","article-title":"U-FNO\u2014An enhanced Fourier neural operator-based deep-learning model for multiphase flow","volume":"163","author":"Wen","year":"2022","journal-title":"Adv. Water Resour."},{"issue":"3","key":"10.1016\/j.cageo.2026.106134_b49","doi-asserted-by":"crossref","first-page":"2362","DOI":"10.1002\/2013JB010492","article-title":"In situ stress analysis in the northern Newark Basin: Implications for induced seismicity from CO2 injection","volume":"119","author":"Zakharova","year":"2014","journal-title":"J. Geophys. Res.: Solid Earth"},{"key":"10.1016\/j.cageo.2026.106134_b50","series-title":"Reservoir Geomechanics","author":"Zoback","year":"2010"}],"container-title":["Computers &amp; Geosciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0098300426000312?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0098300426000312?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T14:08:30Z","timestamp":1771423710000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0098300426000312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":50,"alternative-id":["S0098300426000312"],"URL":"https:\/\/doi.org\/10.1016\/j.cageo.2026.106134","relation":{},"ISSN":["0098-3004"],"issn-type":[{"value":"0098-3004","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prediction of fault slip tendency in CO storage using data-space inversion","name":"articletitle","label":"Article Title"},{"value":"Computers & Geosciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cageo.2026.106134","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"106134"}}