Hojjat Kaveh

ORCID: 0000-0003-3272-3417
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About
Contact & Profiles
Research Areas
  • Earthquake Detection and Analysis
  • earthquake and tectonic studies
  • Chaos control and synchronization
  • Seismology and Earthquake Studies
  • Complex Systems and Time Series Analysis
  • Quantum chaos and dynamical systems
  • Seismic Imaging and Inversion Techniques
  • Reservoir Engineering and Simulation Methods
  • Neural Networks and Applications
  • stochastic dynamics and bifurcation
  • CO2 Sequestration and Geologic Interactions
  • Nonlinear Dynamics and Pattern Formation
  • Seismic Waves and Analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • Geochemistry and Geologic Mapping
  • High-pressure geophysics and materials

California Institute of Technology
2023-2024

Sharif University of Technology
2018-2020

Abstract Deterministic earthquake prediction remains elusive, but time‐dependent probabilistic seismicity forecasting seems within reach thanks to the development of physics‐based models relating stress changes. Difficulties include constraining nucleation model and fault initial state. Here, we analyze induced earthquakes from Groningen gas field, where production is strongly seasonal, began 3 decades after started. We use response variations constrain process calibrate for earthquakes....

10.1029/2023gl105455 article EN cc-by-nc Geophysical Research Letters 2023-10-02

Abstract Reservoir operations for gas extraction, fluid disposal, carbon dioxide storage, or geothermal energy production are capable of inducing seismicity. Modeling tools exist seismicity forecasting using operational data, but the computational costs and uncertainty quantification (UQ) pose challenges. We address this issue in context induced by from Groningen field an integrated modeling framework, which combines reservoir modeling, geomechanical stress-based earthquake forecasting. The...

10.1785/0220230179 article EN Seismological Research Letters 2023-12-15

This paper has dedicated to study the control of chaos when system dynamics is unknown and there are some limitations on measuring states. There many chaotic systems with these features occurring in biological, economical mechanical systems. The usual methods do not have ability present a systematic method for kinds To fulfill strict conditions, we employed Takens embedding theorem which guarantees preservation topological characteristics attractor under an named “Takens transformation.”...

10.1115/1.4041968 article EN Journal of Computational and Nonlinear Dynamics 2018-11-12

Seismic (‘earthquakes’) and aseismic (‘slow earthquakes’) slip events result from episodic slips on faults are often chaotic due to stress heterogeneity. Their predictability in nature is a widely open question. Here, we forecast extreme numerical model of single fault governed by rate-and-state friction, which produces realistic sequences slow with wide range magnitudes inter-event times. The complex dynamics this system arise partial ruptures. As the self-organizes, prestress confined...

10.31223/x56q5d preprint EN cc-by EarthArXiv (California Digital Library) 2024-03-18

SUMMARY Seismic and aseismic slip events result from episodic slips on faults are often chaotic due to stress heterogeneity. Their predictability in nature is a widely open question. In this study, we forecast extreme numerical model. The model, which consists of single fault governed by rate-and-state friction, produces realistic sequences slow with wide range magnitudes interevent times. complex dynamics system arise partial ruptures. As the self-organizes, state confined attractor...

10.1093/gji/ggae417 article EN cc-by Geophysical Journal International 2024-11-20

Reservoir operations related to natural gas extraction, fluid disposal, carbon diox- ide storage, or geothermal energy production, are capable of inducing seismicity. Mod- eling tools have been developed that allow for quantitative forecasting seismicity based on data, but the computational cost such models and difficulty in rep- resenting various sources uncertainties make uncertainty quantification challenging. We address this issue context an integrated modeling framework, which com-...

10.22541/au.168607320.06892091/v1 preprint EN Authorea (Authorea) 2023-06-06

Deterministic earthquake prediction remains elusive, but time-dependent probabilistic seismicity forecasting seems within reach thanks to the development of physics-based models relating stress changes. Difficulties include constraining nucleation model and fault initial state. Here, we analyze induced earthquakes from Groningen gas field, where production is strongly seasonal, began 3 decades after started. We use response variations constrain process calibrate for earthquakes. Remarkable...

10.22541/essoar.169008311.18943957/v1 preprint EN Authorea (Authorea) 2023-07-23
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