Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.

Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes original research and review articles and also publishes Survey, Comments, Perspectives, Reviews, News & Views, Tutorial and Discussion Papers from experts in these fields to promote intuitive understanding of the state-of-the-art and technology trends. 

Main research areas include (but are not limited to):
Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) and grid connection impact
Energy harvesting devices
Energy storage
Hybrid/combined/integrated energy systems for multi-generation
Hydrogen energy 
Fuel cells
Nuclear energy
Energy economics and finance
Energy policy
Energy and environment
Energy conversion, conservation and management
Smart energy system

Power Generation - Conventional and Renewable
Power System Management
Power Transmission and Distribution
Smart Grid Technologies
Micro- and nano-energy systems and technologies
Power electronic
Biofuels and alternatives
High voltage and pulse power
Organic and inorganic photovoltaics
Batteries and supercapacitors

Archiving: full-text archived in CLOCKSS.

Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 4.3 weeks after submission; acceptance to publication is undertaken in 6 days (median values for papers published in this journal in the first half of 2020, 1-2 days of FREE language polishing time is also included in this period).

Current Issue: 2021  Archive: 2020 2019

Special Issue

Where to Drill? -- Measuring Percolation Flow Systems in Critical State Geothermal Reservoirs

Submission Deadline: June 30, 2021 (Open) Submit Now

Guest Editor

Peter Leary, PhD

GeoFlow Imaging, Auckland, New Zealand.

Website | E-Mail

Research Interests: Applied physics of rock-fluid interaction in crustal reservoirs

About This Topic

Recent innovations in surface seismic array data processing have allowed 25m-resolution mapping of large-scale spatially erratic percolation pathways during the production of hydrocarbon-bearing shale formations. Parallel observation of deep basement microseismicity stimulated by controlled injection of fluid reveals that injected fluids induce seismic slip on existing permeability structures rather than generate fresh fracture-flow conduits. Together these observations imply that convective fluid flow in geothermal systems naturally emits seismic energy whose localised spatial origin can be measured with sufficient accuracy to allow targeted drilling of geothermal brownfield and greenfield sites. Targeted drilling of spatially erratic convective flow systems can greatly reduce the drilling cost overhead that currently hinders development of geothermal power production.

The scientific support for acquiring and interpreting seismic data associated with convective geothermal flow structures follows from the unique material properties of crustal rock. First, the Fourier fluctuation power of crustal porosity Sφ(k) scales inversely with spatial frequency k, Sφ(k) ~ 1/k over five decades of scale length, 1/km < k < 1/cm; the physical origin of this ‘’1/f-noise’’ scaling arises from a thermodynamic order-disorder phase change in crustal rock taken as a binary population of grain-scale fluid flow/no-flow poro-site deformation energetics. Second, crustal permeability is controlled by porosity as κ(x,y,z) ~ exp(αφ(x,y,z)), where the empirical parameter α is sufficiently large that permeability is lognormally distributed; all crustal fluid extraction well productivity distributions are lognormal; further, reservoir microseismic magnitude distributions are lognormal. A third observational support is that crustal permeability and reservoir microseismicity distributions are internally spatially correlated according to the two-point correlation function Γ(r) ~ 1/r1/2. Physically relevant numerical modelling of fluid flow in crustal rock requires embedding these spatial distributions at all scales within the computational volume.

The critical-state material spatial correlation complexity of crustal flow systems means that to improve drilling efficiency geothermal reservoir operators must locate large-scale flow structure drilling targets with sufficient resolution rather than rely on statistical inferences from low resolution data. The volcanic terrains of most convective geothermal flow systems create problems for seismic measurements. We invite contributions that address the acquisition, processing, and interpretation of seismic data leading to systematic location of major convective geothermal flow structures as drilling targets.


crustal reservoir flow; crustal fractures; microseismicity; crustal critical state.