{"id":"https://openalex.org/W4205642899","doi":"https://doi.org/10.1145/3493700.3493770","title":"Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow","display_name":"Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4205642899","doi":"https://doi.org/10.1145/3493700.3493770"},"language":"en","primary_location":{"id":"doi:10.1145/3493700.3493770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102122987","display_name":"Subhasis Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094045","display_name":"Shell (India)","ror":"https://ror.org/00ntq6s45","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210094045","https://openalex.org/I7923278"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Subhasis Banerjee","raw_affiliation_strings":["Shell, India"],"affiliations":[{"raw_affiliation_string":"Shell, India","institution_ids":["https://openalex.org/I4210094045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054319229","display_name":"Aniruddha Panda","orcid":"https://orcid.org/0000-0002-9447-9547"},"institutions":[{"id":"https://openalex.org/I4210094045","display_name":"Shell (India)","ror":"https://ror.org/00ntq6s45","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210094045","https://openalex.org/I7923278"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aniruddha Panda","raw_affiliation_strings":["Shell, India"],"affiliations":[{"raw_affiliation_string":"Shell, India","institution_ids":["https://openalex.org/I4210094045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049443337","display_name":"Saurabh Chawdhary","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094045","display_name":"Shell (India)","ror":"https://ror.org/00ntq6s45","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210094045","https://openalex.org/I7923278"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saurabh Chawdhary","raw_affiliation_strings":["Shell, India"],"affiliations":[{"raw_affiliation_string":"Shell, India","institution_ids":["https://openalex.org/I4210094045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077720739","display_name":"Pandu Devarakota","orcid":"https://orcid.org/0000-0003-1989-0261"},"institutions":[{"id":"https://openalex.org/I4210150951","display_name":"Shell (United States)","ror":"https://ror.org/04wedba92","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150951","https://openalex.org/I7923278"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pandu Devarakota","raw_affiliation_strings":["Shell, United States"],"affiliations":[{"raw_affiliation_string":"Shell, United States","institution_ids":["https://openalex.org/I4210150951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102122987"],"corresponding_institution_ids":["https://openalex.org/I4210094045"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00352569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9817000031471252,"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"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9817000031471252,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.9099656343460083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079736590385437},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6801566481590271},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45078176259994507},{"id":"https://openalex.org/keywords/geophysical-imaging","display_name":"Geophysical imaging","score":0.43563374876976013},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.42643028497695923},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39929914474487305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3801136016845703},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.1492764949798584},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09942260384559631},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09818598628044128}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.9099656343460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079736590385437},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6801566481590271},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45078176259994507},{"id":"https://openalex.org/C79675319","wikidata":"https://www.wikidata.org/wiki/Q5535575","display_name":"Geophysical imaging","level":2,"score":0.43563374876976013},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.42643028497695923},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39929914474487305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3801136016845703},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.1492764949798584},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09942260384559631},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09818598628044128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3493700.3493770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W188202134","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2039578808"],"abstract_inverted_index":{"In":[0,91],"the":[1,31,73,78,102,118],"energy":[2,64],"industry,":[3],"high":[4,98],"performance":[5,119],"computing":[6],"has":[7,67],"long":[8],"been":[9,69],"a":[10,97],"significant":[11],"enabler":[12],"for":[13],"solving":[14],"compute":[15],"challenges.":[16],"Seismic":[17],"imaging,":[18],"reservoir":[19],"engineering,":[20],"computational":[21],"chemistry,":[22],"CFD":[23],"simulations,":[24],"and":[25,33,41,86,104,109,112],"many":[26],"other":[27],"large-scale":[28],"challenges":[29,103],"in":[30,72,106],"modelling":[32],"simulation":[34],"space":[35],"necessitate":[36],"HPC":[37],"resources":[38],"to":[39,56,59,76,82],"solve":[40],"expedite":[42],"workflows.":[43,124],"However,":[44],"large":[45],"scale":[46],"data":[47],"processing":[48,85,108],"using":[49],"Deep":[50],"Learning":[51],"(DL)":[52],"techniques":[53],"is":[54],"yet":[55],"be":[57],"exploited":[58],"its":[60],"full":[61],"potential":[62],"by":[63],"industry.":[65],"There":[66],"recently":[68],"enough":[70],"interest":[71],"geophysics":[74],"community":[75],"leverage":[77],"power":[79],"of":[80,101,117,122],"DL":[81],"make":[83],"seismic":[84,107],"imaging":[87,110],"workflows":[88],"more":[89],"efficient.":[90],"this":[92],"tutorial,":[93],"we":[94],"first":[95],"present":[96],"level":[99],"overview":[100],"opportunities":[105],"workflow,":[111],"propose":[113],"an":[114],"in-depth":[115],"analysis":[116],"engineering":[120],"aspects":[121],"DL-based":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}