Search Results - "Journal of applied geophysics"

Effect of high temperature on physical and mechanical properties of Jalore granite by Gautam, P.K., Verma, A.K., Jha, M.K., Sharma, Pushpendra, Singh, T.N.

“…Underground nuclear waste disposal is an important area of research which requires concepts related to thermal cracking in brittle rock. The disposed canister…”
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Recent developments in the direct-current geoelectrical imaging method by Loke, M.H., Chambers, J.E., Rucker, D.F., Kuras, O., Wilkinson, P.B.

“…There have been major improvements in instrumentation, field survey design and data inversion techniques for the geoelectrical method over the past 25years…”
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Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal by Wang, Tong, Zhang, Mingcai, Yu, Qihao, Zhang, Huyuan

“…The Hilbert–Huang transform (HHT) is a novel signal analysis method in seismic exploration. It integrates empirical mode decomposition (EMD) and classical…”
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Compressive sensing for seismic data reconstruction via fast projection onto convex sets based on seislet transform by Gan, Shuwei, Wang, Shoudong, Chen, Yangkang, Chen, Xiaohong, Huang, Weiling, Chen, Hanming

“…According to the compressive sensing (CS) theory in the signal-processing field, we proposed a new CS approach based on a fast projection onto convex sets…”
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Lithology prediction from well log data using machine learning techniques: A case study from Talcher coalfield, Eastern India by Kumar, Thinesh, Seelam, Naresh Kumar, Rao, G. Srinivasa

“…Coal exploration in the Indian scenario is challenging due to plenty of carbon contents and dirt bands within a coal seam. Manual interpretation of geophysical…”
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Fractal characteristics and acoustic emission of coal containing methane in triaxial compression failure by Kong, Xiangguo, Wang, Enyuan, Hu, Shaobin, Shen, Rongxi, Li, Xuelong, Zhan, Tangqi

“…Aimed at exploring the influence of methane to coal and studying fractal characteristics and acoustic emission (AE) features in the damage evolution, the…”
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Full waveform inversion method using envelope objective function without low frequency data by Chi, Benxin, Dong, Liangguo, Liu, Yuzhu

“…Full waveform inversion (FWI) has been a successful tool to build high resolution velocity models, but it is affected by a local minima problem. The…”
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Volcanic lithology identification based on parameter-optimized GBDT algorithm: A case study in the Jilin Oilfield, Songliao Basin, NE China by Yu, Zhichao, Wang, Zhizhang, Zeng, Fancheng, Song, Peng, Baffour, Bestman Adjei, Wang, Peng, Wang, Weifang, Li, Ling

“…The reservoir rocks in the volcanic strata of the Jilin oil field are characterized by great complexity and diversity in composition and structure of…”
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Geoelectrical characterization and monitoring of slopes on a rainfall-triggered landslide simulator by Hojat, Azadeh, Arosio, Diego, Ivanov, Vladislav Ivov, Longoni, Laura, Papini, Monica, Scaioni, Marco, Tresoldi, Greta, Zanzi, Luigi

“…In this paper, we present the results of time-lapse electrical resistivity tomography (ERT) monitoring of rainfall-triggered shallow landslides reproduced on a…”
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Channel identification using 3D seismic attributes and well logging in lower Shihezi Formation of Hangjinqi area, northern Ordos Basin, China by Anees, Aqsa, Shi, Wanzhong, Ashraf, Umer, Xu, Qinghai

“…Channel identification in oil and gas exploration is a vital task due to the importance of fluvial reservoirs. The fluvial sandstone of Lower Shihezi Formation…”
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Satellite based assessment of artificial reservoir induced landslides in data scarce environment: A case study of Baglihar reservoir in India by Mishra, Vishal, Jain, Kamal

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K-means clustering using principal component analysis to automate label organization in multi-attribute seismic facies analysis by Troccoli, Edric Brasileiro, Cerqueira, Alexsandro Guerra, Lemos, Jonh Brian, Holz, Michael

“…The use of unsupervised machine learning methods such as K-means, Hierarchical Agglomerative Clustering, and Self-organizing maps is constantly increasing in…”
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Application of underground microseismic monitoring for ground failure and secure longwall coal mining operation: A case study in an Indian mine by Ghosh, G.K., Sivakumar, C.

“…Longwall mining technique has been widely used around the globe due to its safe mining process. However, mining operations are suspended when various problems…”
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Improved characterisation and modelling of measurement errors in electrical resistivity tomography (ERT) surveys by Tso, Chak-Hau Michael, Kuras, Oliver, Wilkinson, Paul B., Uhlemann, Sebastian, Chambers, Jonathan E., Meldrum, Philip I., Graham, James, Sherlock, Emma F., Binley, Andrew

“…Measurement errors can play a pivotal role in geophysical inversion. Most inverse models require users to prescribe or assume a statistical model of data…”
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Reservoir facies classification based on random forest and geostatistics methods in an offshore oilfield by Rahimi, Mehran, Riahi, Mohammad Ali

“…Machine learning methods are increasingly employed in various seismic and petrophysical methods for parameter estimation, interpretation, prediction, and…”
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Adaptive noise estimation and suppression for improving microseismic event detection by Mousavi, S. Mostafa, Langston, Charles A.

“…Microseismic data recorded by surface arrays are often strongly contaminated by unwanted noise. This background noise makes the detection of small magnitude…”
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Experimental investigation on the spatio-temporal-energy evolution pattern of limestone fracture using acoustic emission monitoring by Wang, Chunlai, Zhou, Baokun, Li, Changfeng, Cao, Cong, Sui, Qiru, Zhao, Guangming, Yu, Weijian, Chen, Zeng, Wang, Yin, Liu, Bin, Lu, Hui

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Environmental seismology: What can we learn on earth surface processes with ambient noise? by Larose, Eric, Carrière, Simon, Voisin, Christophe, Bottelin, Pierre, Baillet, Laurent, Guéguen, Philippe, Walter, Fabian, Jongmans, Denis, Guillier, Bertrand, Garambois, Stéphane, Gimbert, Florent, Massey, Chris

“…Environmental seismology consists in studying the mechanical vibrations that originate from, or that have been affected by external causes, that is to say…”
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A new approach for porosity and permeability prediction from well logs using artificial neural network and curve fitting techniques: A case study of Niger Delta, Nigeria by Urang, Job G., Ebong, Ebong D., Akpan, Anthony E., Akaerue, Emmanuel I.

“…A new approach based on artificial neural network and standardized non-linear regression analysis is proposed for the prediction of reservoir properties from…”
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Detailed landfill leachate plume mapping using 2D and 3D electrical resistivity tomography - with correlation to ionic strength measured in screens by Maurya, P.K., Rønde, V.K., Fiandaca, G., Balbarini, N., Auken, E., Bjerg, P.L., Christiansen, A.V.

“…Leaching of organic and inorganic contamination from landfills is a serious environmental problem as surface water and aquifers are affected. In order to…”
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