{"id":"https://openalex.org/W4414310242","doi":"https://doi.org/10.1109/tgrs.2025.3611007","title":"Automatic Differentiation-Based Borehole Full Waveform Inversion","display_name":"Automatic Differentiation-Based Borehole Full Waveform Inversion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414310242","doi":"https://doi.org/10.1109/tgrs.2025.3611007"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3611007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611007","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tgrs.2025.3611007","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100604664","display_name":"Song Xu","orcid":"https://orcid.org/0000-0002-5493-9246"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Xu","raw_affiliation_strings":["College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101841241","display_name":"Yuguo Li","orcid":"https://orcid.org/0000-0003-1316-8462"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101791555","display_name":"Shun Li","orcid":"https://orcid.org/0009-0006-3128-9654"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Li","raw_affiliation_strings":["College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101603512","display_name":"Zhihui Zou","orcid":"https://orcid.org/0000-0003-4346-5820"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Zou","raw_affiliation_strings":["College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ocean University of China, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100604664"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27626996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/borehole","display_name":"Borehole","score":0.8716999888420105},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6502000093460083},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6025999784469604},{"id":"https://openalex.org/keywords/well-logging","display_name":"Well logging","score":0.5623000264167786},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.544700026512146},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.49869999289512634},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.42080000042915344},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.38499999046325684},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.350600004196167}],"concepts":[{"id":"https://openalex.org/C150560799","wikidata":"https://www.wikidata.org/wiki/Q502102","display_name":"Borehole","level":2,"score":0.8716999888420105},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6502000093460083},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6025999784469604},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5878000259399414},{"id":"https://openalex.org/C35817400","wikidata":"https://www.wikidata.org/wiki/Q2383566","display_name":"Well logging","level":2,"score":0.5623000264167786},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.544700026512146},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.49869999289512634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4749999940395355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4368000030517578},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.37860000133514404},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C14641988","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Reservoir modeling","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32350000739097595},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C143606050","wikidata":"https://www.wikidata.org/wiki/Q1377019","display_name":"Inverse transform sampling","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C2777139213","wikidata":"https://www.wikidata.org/wiki/Q7561858","display_name":"Sonic logging","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C59696629","wikidata":"https://www.wikidata.org/wiki/Q193846","display_name":"Wave equation","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C79675319","wikidata":"https://www.wikidata.org/wiki/Q5535575","display_name":"Geophysical imaging","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C161028810","wikidata":"https://www.wikidata.org/wiki/Q2138304","display_name":"Regional geology","level":4,"score":0.25209999084472656},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3611007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611007","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tgrs.2025.3611007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611007","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"characterization":[1],"of":[2,103,117,139,177],"elastic":[3,63],"properties":[4],"near":[5],"boreholes":[6],"is":[7,85],"critical":[8],"for":[9,94,211],"reservoir":[10],"evaluation,":[11],"well":[12],"integrity":[13],"assessment,":[14],"and":[15,28,37,56,99,130,149,163,194,208,221],"high-resolution":[16],"formation":[17],"imaging.":[18],"Traditional":[19],"borehole":[20,47,213],"inversion":[21,50],"methods":[22],"often":[23],"suffer":[24],"from":[25],"limited":[26],"resolution":[27],"complex":[29],"implementation,":[30],"particularly":[31],"in":[32,66,78,218],"scenarios":[33],"involving":[34],"radial":[35],"heterogeneity":[36],"thin":[38,131,172],"layers.":[39,133],"In":[40],"this":[41],"study,":[42],"we":[43],"present":[44],"a":[45,70,79,115,206],"novel":[46],"full":[48],"waveform":[49],"framework":[51,204],"based":[52],"on":[53,114],"automatic":[54,88],"differentiation":[55],"recurrent":[57,71],"neural":[58],"networks.":[59],"By":[60],"reformulating":[61],"the":[62,92,108,137,156,175,202],"wave":[64],"equation":[65],"cylindrical":[67],"coordinates":[68],"as":[69,144],"structure,":[72],"forward":[73],"modeling":[74],"becomes":[75],"naturally":[76],"embedded":[77],"deep":[80],"learning":[81],"framework.":[82],"Gradient":[83],"computation":[84],"performed":[86],"using":[87,182],"differentiation,":[89],"which":[90],"eliminates":[91],"need":[93],"manually":[95],"derived":[96],"adjoint":[97],"equations":[98],"enables":[100],"flexible":[101,209],"implementation":[102],"multi-parameter":[104],"inversion.":[105],"We":[106,134],"validate":[107],"proposed":[109,157,203],"method":[110,158,181],"through":[111],"numerical":[112],"experiments":[113],"series":[116],"synthetic":[118],"models":[119],"with":[120,166,215],"increasing":[121],"geological":[122],"complexity,":[123],"including":[124],"radially":[125],"layered":[126],"formations,":[127],"curved":[128],"interfaces,":[129],"low-velocity":[132],"further":[135],"investigate":[136],"effects":[138],"different":[140],"acquisition":[141,192],"configurations,":[142],"such":[143],"source-receiver":[145],"offsets,":[146],"sparse":[147],"sampling,":[148],"unidirectional":[150],"observation":[151],"setups.":[152],"Results":[153],"show":[154],"that":[155,201],"can":[159],"recover":[160],"both":[161],"P-wave":[162],"S-wave":[164],"velocities":[165],"high":[167],"accuracy,":[168],"even":[169],"resolving":[170],"sub-wavelength":[171],"beds":[173],"beyond":[174],"capability":[176],"conventional":[178],"velocity":[179],"estimation":[180],"logging":[183,196,222],"data.":[184],"The":[185],"approach":[186],"also":[187],"demonstrates":[188],"robustness":[189],"under":[190],"reduced":[191],"coverage":[193],"practical":[195],"conditions.":[197],"Our":[198],"findings":[199],"suggest":[200],"offers":[205],"powerful":[207],"solution":[210],"high-fidelity":[212],"imaging,":[214],"broad":[216],"applicability":[217],"geophysical":[219],"exploration":[220],"interpretation.":[223]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}