Results 11 to 20 of about 14,800 (261)

Grain Storage Adapted to Drought Environment ——Analysis of Underground Grain Storage in Western Australia

open access: yesLiang you shipin ke-ji, 2022
Underground storage of grain is a method with long history. The underground quasi-low temperature and airtight isolation provide a storage environment that can inhibit pests for long-term storage of grain.
WANG Zu-yuan, GUO Chan-jiao
doaj   +1 more source

Simulation of petroleum phase behavior in injection and production process of underground gas storage in a gas reservoir

open access: yesPetroleum Exploration and Development, 2022
On the basis of analyzing the fluid phase behavior during the transformation from gas reservoir to gas storage, a mathematical model and an experimental simulation method are established to describe the oil-gas phase behavior during the whole injection ...
Jieming WANG   +7 more
doaj   +1 more source

Numerical simulation-based correction of relative permeability hysteresis in water-invaded underground gas storage during multi-cycle injection and production

open access: yesPetroleum Exploration and Development, 2021
By conducting relative permeability experiments of multi-cycle gas-water displacement and imbibition on natural cores, we discuss relative permeability hysteresis effect in underground gas storage during multi-cycle injection and production. A correction
Sinan ZHU   +6 more
doaj   +1 more source

Mechanical Stability Evaluation of Water-sealed Type Underground Rock Cavern Using Tilt Response to Gas Pressure Change in Cavern

open access: yesJournal of MMIJ, 2017
In addition to hydrological characterization of water-sealed type underground rock caverns, their mechanical stability is constantly monitored by measuring several properties, such as earthquake-induced vibration, strain, and tilt.
Satoshi HIROOKA   +8 more
doaj   +1 more source

Injection–production mechanisms and key evaluation technologies for underground gas storages rebuilt from gas reservoirs

open access: yesNatural Gas Industry B, 2018
Underground gas storages (UGSs) rebuilt from gas reservoirs is the most popular UGS type in the world. It accounts for 75% of the total active gas of all gas storages.
Junchang Sun   +6 more
doaj   +1 more source

Theoretical and Technological Challenges of Deep Underground Energy Storage in China

open access: yesEngineering, 2023
Deep underground energy storage is the use of deep underground spaces for large-scale energy storage, which is an important way to provide a stable supply of clean energy, enable a strategic petroleum reserve, and promote the peak shaving of natural gas.
Chunhe Yang, Tongtao Wang, Haisheng Chen
doaj   +1 more source

Crack damage stress in fully saturated rocks: a new detection procedure [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems
Crack damage stress, also known as the onset of dilatancy, indicates the long-term strength of a rock as it describes the transition from the stable to the unstable crack growth phase under loading.
S. Schumacher, W. Gräsle
doaj   +1 more source

Connotation and evaluation technique of geological integrity of UGSs in oil/gas fields

open access: yesNatural Gas Industry B, 2020
Whole-life-cycle integrity management of underground gas storages (UGSs) has been an important link to ensure its long-term safe and efficient operation.
Yali Zheng   +7 more
doaj   +1 more source

A review on underground gas storage systems: Natural gas, hydrogen and carbon sequestration

open access: yesEnergy Reports, 2023
The concept of underground gas storage is based on the natural capacity of geological formations such as aquifers, depleted oil and gas reservoirs, and salt caverns to store gases.
Manal Al-Shafi   +3 more
doaj   +1 more source

Random noise attenuation via convolutional neural network in seismic datasets

open access: yesAlexandria Engineering Journal, 2022
With the explosive growth in seismic data acquisition and the successful application of convolutional neural networks to various image processing tasks within multidisciplinary fields, many researchers have begun to research convolutional neural networks
Ruishan Du   +4 more
doaj   +1 more source

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