Results 91 to 100 of about 1,682 (251)

Dissociating Gas Hydrate Beneath the Hydrate Stability Zone

Geophysical Research Letters
Vast amounts of carbon are stored beneath the seafloor in the form of methane hydrate. Hydrate is stable at moderate pressure and low temperature at a depth extending several hundred meters beneath the seafloor to the base of gas hydrate stability (BGHS)
I. A. Pecher, A. E. Cook, E. A. Solomon, X. Wang, S. Han, M. Paganoni, M. Luo, K. U. Heeschen, D. D. McNamara, M. Nole, L. LeVay, K. Petronotis, P. M. Barnes, L. M. Wallace, D. M. Saffer   +14 more
doaj   +1 more source

Permeability of granite from a shallow buried mountain pipe gallery tunnel under unloading confining pressure

Deep Underground Science and Engineering, EarlyView.
Triaxial compression tests under unloading confining pressure conditions were conducted to systematically analyze the permeability behavior of granite retrieved from the different classification surrounding rocks. Abstract The rock mass within mountain tunnels undergoes complex changes in permeability, strength, and deformation during tunneling ...
Xiaoyan Zhang, Yonghua Ye, Jianping Zuo, Baojiang Han, Weigang Jiao   +4 more
wiley   +1 more source

Numerical Simulation for Drill Collar Noise Signal Removal in Elemental Logging While Drilling

Applied Sciences
Elemental gamma spectroscopy logging while drilling is crucial for assessing element content in unconventional oil and gas reservoirs. Unlike wireline elemental spectroscopy logging, the high cross section and high-density characteristics of the drill ...
Jilin Fan, Qiong Zhang
doaj   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

A rock brittleness index based on the postpeak energy release rate and damage surface characteristics for brittle hard rock

Deep Underground Science and Engineering, EarlyView.
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang, Zaobao Liu, Jing Xue, Bo Lu, Wei Zeng, Dengke Zhang   +5 more
wiley   +1 more source

The simulation and research of seismoelectric logs for Logging While Drilling(LWD) [PDF]

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017), 2017
XiangYang Sun, Yongpeng Zhao
openaire   +1 more source

Surface hydration‐induced damage in tight oil‐bearing sandy conglomerate reservoirs

Deep Underground Science and Engineering, EarlyView.
A series of techniques such as X‐ray diffraction, scanning electron microscopy, energy‐dispersive spectroscopy, conductivity tests, and infrared thermal imaging were used. The key findings are the identification of a two‐stage surface hydration process and the elucidation of the effects of various minerals and elements on the hydration process ...
Anbang Zhao, Shuheng Du, Yuan Zhang, Jinghong Hu, Bo Zhou, Yun Wei   +5 more
wiley   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Acoustic Emission and Echo Signal Compensation Techniques Applied to an Ultrasonic Logging-While-Drilling Caliper. [PDF]

Sensors (Basel), 2017
Yao Y, Ju X, Lu J, Men B.
europepmc   +1 more source