Geomechanics and Geoenergy Journal

Geomechanics and Geoenergy Journal

Geomechanics and Geoenergy Journal (GGJ) as a scientific and research journal publishes papers related to the issues on the geomechanics of enrgy reservoirs. This journal is established by Iranian Association of Petroleum Geomechanics and is published seasonally in electronic forms. In this journal, it is attempted to reflect the results of theoretical, developed and applied researches as well as review issues related to geomechanics of energy reservoirs (oil, gas, hydrogen, Geothermal) including rock physics, seismic and micro-seismic investigations, laboratory and in-situ tests, analytical relations and behavioral models, geomechanical modeling, application of geomechanics in exploration, drilling, production and energy storge and also CO2 capture and storage.

To achieve the aims of the journal, all active scientists and researchers in the above-mentioned fields are invited to share their innovative and invaluable scientific and research results with other experts via this journal, and play significant roles in the development of the science of geomechanics of energy reservoirs, and consequently, sustainable production and enhanced production of oil, gas and hydrogen  from the reservoirs.

The scientific and research  validity of the Journal has been received by a letter number 23709/18/3 dated 16 January 2017 from the Commission of Scientific Journals of the country in the Ministry of Science, Research and Technology.

Keywords Cloud

  • Hydraulic fracturing
  • Machine Learning
  • wellbore stability
  • Numerical modeling
  • Permeability
  • Geomechanics
  • pore pressure
  • Geomechanical Model
  • porosity
  • Sand production
  • Porous media
  • Finite element method
  • petrophysical properties
  • Sensitivity analysis
  • fracture
  • Geoenergy
  • Drilling
  • Multiscale
  • well logging
  • Mogi-Coulomb
  • Artificial intelligence
  • Persian Gulf
  • Well Log Data
  • Shear wave velocity
  • Rock mass
  • Rate of Penetration
  • Asmari Reservoir
  • Petroleum geomechanics
  • in-situ stress
  • Rough-walled Fractures
  • Wave propagation
  • cement
  • Petrophysics
  • Crack propagation
  • Distinct Element Method
  • petrophysical logs
  • unsaturated soil
  • Creep
  • finite difference
  • Abadan plain
  • Well stability
  • Hydromechanical modeling
  • Drilling fluid loss
  • underground gas storage
  • Kangan Formation
  • Numerical Model
  • Cap Rock
  • Inversion
  • Electrical resistivity
  • PSO
  • Cohesive crack
  • Fault stability
  • Techlog Software
  • Relative Permeability
  • Hydraulic conductivity
  • Forchheimer’s law
  • Oil
  • Diagenetic Processes
  • Hole cleaning
  • Wellbore Instability
  • Sonic log
  • Reservoir
  • Clustering
  • Kick
  • Discrete Fracture Network
  • Carbonate Reservoirs
  • drilling problems
  • Reservoir Geomechanics
  • Shale gas
  • Deep Learning
  • Fractures
  • Learning
  • proppant
  • Minimum horizontal stress
  • Compressive strength
  • Rock
  • Joint stiffness
  • Mohr-coulomb Criterion
  • Borehole breakout
  • Hybrid Machine Learning
  • Rate of Penetration (ROP)
  • Crude Oil
  • Rock Type
  • displacement discontinuity method
  • Microfacies
  • Bearing Capacity
  • numerical simulation
  • Non-linear Flow
  • Sarvak Formation
  • rock physics
  • Extrinsic Enrichment
  • Diagenesis
  • Eclipse
  • Elastic modulus
  • Casing
  • Fracture Conductivity
  • Saline Aquifers
  • shear behavior
  • Enhanced oil recovery
  • Joint infill thickness
  • Fracture gradient
  • brittleness
  • Rock Fracture
  • thermal stress
  • \"Failure mechanism\"
  • Upscaling
  • filler material\"
  • pyGIMLi
  • Young\'s modulus
  • Slip tendency
  • True Triaxial stress
  • Drilling parameters
  • Shale
  • CAPRI device
  • Gypsum
  • Micro-CT
  • Calibration
  • Oil Wellbore
  • S-wave velocity
  • FZI-Stonley
  • LSSVM-PSO
  • proppant mass
  • Fracture Toughness of Rocks
  • Amplitude Reflection Variation with Offset
  • Bourgoyne and Young model
  • \'bit\'\'
  • Discrete modelling
  • Eccentricity
  • Seismic velocity
  • annulus pressure drop
  • quartz sands
  • Lift and Drag Forces
  • Nanofluids
  • thermo-mechanical analysis
  • Lame Parameters
  • vertical displacement
  • Fracture Hydraulic
  • Porosity Shear wave velocity
  • Velocity Inversion
  • insitu stress\"
  • Injectivity
  • Optimization algorithm
  • Drilling Penetration Rate
  • Geomechanical simulation model
  • quantitative analysis
  • \"Multi-Laminate\"
  • Simulation
  • Diagenetic Process
  • Formation Breakdown Pressure
  • Multi mineral Segmentation
  • Rock mechanical model
  • In situ stress
  • Electrical conductivity
  • GEOLOG
  • horizontal displacement
  • diagenetic
  • KGD
  • Thermo-hydro-mechanical modelling
  • Conductivity apparatus
  • Preventive methods
  • refraction
  • Preventive Approach
  • immiscible fluids
  • Mud Logging Data
  • \"Anisotropy\"
  • Representative Element Volume
  • Intermediate Principal Stress
  • Shadegan Oilfield
  • Neutron log
  • coupled geomechanics
  • K-means Clustering
  • differential effective medium (DEM)
  • fracture pressure
  • PS-InSAR
  • unconventional reservoirs
  • rock-bit interaction
  • Experimental Evaluation
  • Petrophysical Interpretation
  • Shadegan Oil Field
  • Fluid pressure
  • wavelet transform
  • Hugoton gas field
  • Numerical analysis
  • Creep equation
  • Reservoir Heterogeneity
  • Interaction factor
  • Natural fractures
  • Thermo-Hydro-Mechanical Analysis
  • Double porosity
  • Deformable environment
  • \'directional drilling simulator\'
  • compaction
  • Multi-Lateral Well
  • FAC3D software
  • Compressional wave
  • Pipe stick
  • Coupled modeling
  • Sand Production Prediction
  • Artificial Neural Network
  • long term performance