Article : Fractured-bedrock aquifer studies based on a descriptive statistics of well-logging data: A case study from the Dajia River basin, Taiwan
Authors : Shiuly, ADepartment of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, Kumar, VDepartment of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, Narayan, J.P.Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, email@example.com, Mousavian, R.Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, R_mousavian@yahoo.com, Hossainali, M.M.Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, Hossainali@kntu.ac.ir, Wiszniowski, J.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, firstname.lastname@example.org, Plesiewicz, B.M.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, Trojanowski, J.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, Agh-Atabai, M.Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, email@example.com, Mirabedini, M.S.Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, firstname.lastname@example.org, Rashed, M.Department of Geophysics, Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Geology Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, email@example.com, Muduli, P.KDepartment of Civil Engineering, National Institute of Technology, Rourkela, India, firstname.lastname@example.org, Das, S.K.Department of Civil Engineering, National Institute of Technology, Rourkela, India, email@example.com, Liu, H.School of Information Engineering, China University of Geosciences, Beijing, China, Jerryliu1103@gmail.com, Lei, XSchool of Information Engineering, China University of Geosciences, Beijing, China, Mao, CResearch Institute of Exploration and Development, DianQianGui Oil Company, Sinopec Group, Kunming, Yunnan, China, Li, S.Research Institute of Exploration and Development, QingHai Oil Company, CNPC, Dunhuang, Gansu, China, Chou, P.-YGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, firstname.lastname@example.org, Hsu, S.-MGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, email@example.com, Chen, P.-JGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, firstname.lastname@example.org, Lin, J.-J.Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, email@example.com, Lo, H.-CGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, firstname.lastname@example.org,
Abstract : A simple descriptive-statistical approach is proposed for evaluating the transmissivity of fractured-bedrock under field conditions. Based on standard well logging and identification of structural discontinuities from borehole televiewer, the approach consists of four steps: (1) determination of discontinuity properties, namely the frequency of discontinuities and the ratio of open fractures along the borehole; (2) ranking the three well logs and the discontinuity properties into tertiles (high-to-low); (3) performing statistical analysis (F-test) for the three well logs to assess the significance of open fractures on the water-transmitting potential and then assigned a weighting factor; and (4) a semi-quantitative indicator, RGVFO, is obtained by multiplying all predictive indexes and weighting factors. It is a multi-criteria evaluation procedure that elucidates the quantitative and qualitative importance of all selected geophysical indexes. A high cross-correlation between transmissivity to RGVFO value is found, which indicates that by a combined consideration of well logging and structural discontinuities, an appropriate estimate of bedrock water-transmitting potential can be derived.
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Qute : Shiuly, A ,Kumar, V ,Narayan, J.P. ,Mousavian, R. ,Hossainali, M.M. ,Wiszniowski, J. ,Plesiewicz, B.M. ,Trojanowski, J. ,Agh-Atabai, M. ,Mirabedini, M.S. ,Rashed, M. ,Muduli, P.K ,Das, S.K. ,Liu, H. ,Lei, X ,Mao, C ,Li, S. ,Chou, P.-Y ,Hsu, S.-M ,Chen, P.-J ,Lin, J.-J. ,Lo, H.-C ,Lo, H.-C , Fractured-bedrock aquifer studies based on a descriptive statistics of well-logging data: A case study from the Dajia River basin, Taiwan. Acta Geophysica Vol. 62, no. 3/2014