{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:35:31Z","timestamp":1760060131717,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002886","name":"major science and technology project of the China National Petroleum Corporation","doi-asserted-by":"publisher","award":["2023ZZ16YJ04"],"award-info":[{"award-number":["2023ZZ16YJ04"]}],"id":[{"id":"10.13039\/501100002886","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The resistivity imaging system is specifically designed for the precise measurement of resistivity distributions within drilled columnar core samples. Its coaxial symmetric configuration enables the non-destructive characterization of electrical properties, with broad applications in oil and gas exploration, reservoir evaluation, and geological research. By integrating a ring return electrode and full-circumference electrode arrays, the system can acquire core-scale resistivity data in conductive media environments. The self-developed imaging software employs advanced processing algorithms\u2014including depth correction, amplitude normalization, and image enhancement\u2014to transform raw resistivity measurements into high-resolution surface imaging maps. Experimental results demonstrate that the system can resolve features such as cracks with a minimum width of 0.5 mm and pores with a minimum inner diameter of 0.4 mm in granite core, providing a novel technical approach for the fine-scale characterization of core materials.<\/jats:p>","DOI":"10.3390\/sym17081238","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T07:49:58Z","timestamp":1754380198000},"page":"1238","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Surface Resistivity Imaging for Drilling Columnar Cores"],"prefix":"10.3390","volume":"17","author":[{"given":"Qi","family":"Ran","sequence":"first","affiliation":[{"name":"Research Institute of Exploration and Development, PetroChina Southwest Oil & Gas Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Lai","sequence":"additional","affiliation":[{"name":"Research Institute of Exploration and Development, PetroChina Southwest Oil & Gas Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Research Institute of Exploration and Development, PetroChina Southwest Oil & Gas Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3270-9195","authenticated-orcid":false,"given":"Yuyu","family":"Wu","sequence":"additional","affiliation":[{"name":"Research Institute of Exploration and Development, PetroChina Southwest Oil & Gas Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5552-4619","authenticated-orcid":false,"given":"Zhe","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.jhydrol.2016.08.029","article-title":"Digital rock analysis for accurate prediction of fractured media permeability","volume":"554","author":"Ramandi","year":"2016","journal-title":"J. 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Heat Mass Transf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1889","DOI":"10.1029\/92JB02298","article-title":"Nondestructive measurements of fracture aperture in crystalline rock cores using X ray computed tomography","volume":"98","author":"Johns","year":"1993","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1144\/GSL.SP.2003.215.01.06","article-title":"Quantitative characterization of fracture apertures using microfocus computed tomography","volume":"215","author":"Vandersteen","year":"2003","journal-title":"Geol. Soc. Lond. Spec. Publ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s10596-016-9582-3","article-title":"X-ray computed microtomography\u2014A useful tool for petrophysical properties determination","volume":"20","author":"Jarzyna","year":"2016","journal-title":"Comput. Geosci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.ijggc.2016.01.042","article-title":"Observations of carbon dioxide saturation distribution and residual trapping using core analysis and repeat pulsed-neutron logging at the CO2CRC Otway site","volume":"47","author":"Dance","year":"2016","journal-title":"Int. J. Greenh. Gas Control"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1002\/jgrb.50086","article-title":"Determination of stress state in deep subsea formation by combination of hydraulic fracturing in situ test and core analysis: A case study in the IODP Expedition 319","volume":"118","author":"Ito","year":"2013","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s00531-005-0009-y","article-title":"Synsedimentary faults and amalgamated unconformities: Insights from 3D-seismic and core analysis of the Lower Triassic Middle Buntsandstein, Ems Trough, north-western Germany","volume":"94","author":"Radies","year":"2005","journal-title":"Int. J. Earth Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.jmrt.2023.05.271","article-title":"Recognition of rock materials after high-temperature deterioration based on SEM images via deep learning","volume":"25","author":"Gao","year":"2023","journal-title":"J. Mater. Res. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cosoli, G., Mobili, A., Tittarelli, F., Revel, G.M., and Chiariotti, P. (2020). Electrical Resistivity and Electrical Impedance Measurement in Mortar and Concrete Elements: A Systematic Review. Appl. Sci., 10.","DOI":"10.3390\/app10249152"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Robles, K.P.V., Yee, J.J., and Kee, S.H. (2022). Electrical Resistivity Measurements for Nondestructive Evaluation of Chloride-Induced Deterioration of Reinforced Concrete\u2014A Review. Materials, 15.","DOI":"10.3390\/ma15082725"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"055901","DOI":"10.1088\/0957-0233\/25\/5\/055901","article-title":"An instrument for the high temperature measurement of the Seebeck coefficient and electrical resistivity","volume":"25","author":"Gunes","year":"2014","journal-title":"Meas. Sci. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1109\/19.893264","article-title":"A generic automated\/semiautomated digital multi-electrode instrument for field resistivity measurements","volume":"49","author":"Werkema","year":"2000","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"106573","DOI":"10.1016\/j.mtcomm.2023.106573","article-title":"Electrical resistivity measurement, piezoresistivity behavior and compressive strength of concrete: A comprehensive review","volume":"36","author":"Piro","year":"2023","journal-title":"Mater. Today Commun."},{"key":"ref_17","first-page":"355","article-title":"Detection of Cracks in Heavy Weight Concrete Using Inner Electrical Resistivity Method","volume":"5","author":"Hassaan","year":"2021","journal-title":"Saudi J. Civ. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.jappgeo.2011.06.009","article-title":"Monitoring crack development in fiber concrete beam by using electrical resistivity imaging","volume":"75","author":"Wiwattanachang","year":"2011","journal-title":"J. Appl. Geophys."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.jappgeo.2014.07.017","article-title":"Novel laboratory methods for determining the fine scale electrical resistivity structure of core","volume":"111","author":"Haslam","year":"2014","journal-title":"J. Appl. Geophys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1109\/TPAMI.1987.4767941","article-title":"Image analysis using mathematical morphology","volume":"4","author":"Haralick","year":"1987","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_21","first-page":"13","article-title":"An introduction to image analysis using mathematical morphology","volume":"19","author":"Banerji","year":"2000","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"107307","DOI":"10.1016\/j.marpetgeo.2025.107307","article-title":"Pore-fracture fusion modeling method for ultra-deep clastic reservoirs","volume":"173","author":"Du","year":"2025","journal-title":"Mar. Pet. Geol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"106809","DOI":"10.1016\/j.compgeo.2024.106809","article-title":"RDT-FragNet: A DCN-Transformer network for intelligent rock fragment recognition and particle size distribution acquisition","volume":"177","author":"Li","year":"2024","journal-title":"Comput. Geotech."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/8\/1238\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:23:15Z","timestamp":1760034195000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/8\/1238"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,5]]},"references-count":23,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["sym17081238"],"URL":"https:\/\/doi.org\/10.3390\/sym17081238","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2025,8,5]]}}}