{"id":"https://openalex.org/W4415088220","doi":"https://doi.org/10.48550/arxiv.2509.11376","title":"Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Real-Time Petroleum Operations","display_name":"Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Real-Time Petroleum Operations","publication_year":2025,"publication_date":"2025-09-14","ids":{"openalex":"https://openalex.org/W4415088220","doi":"https://doi.org/10.48550/arxiv.2509.11376"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.11376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11376","pdf_url":"https://arxiv.org/pdf/2509.11376","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.11376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054870315","display_name":"Seyed Kourosh Mahjour","orcid":"https://orcid.org/0000-0001-7825-9707"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mahjour, Seyed Kourosh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5118117231","display_name":"Seyed Saman Mahjour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahjour, Seyed Saman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054870315"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9986000061035156,"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":0.9986000061035156,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.987500011920929,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9842000007629395,"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/field","display_name":"Field (mathematics)","score":0.5710999965667725},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5289999842643738},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.460099995136261},{"id":"https://openalex.org/keywords/reservoir-modeling","display_name":"Reservoir modeling","score":0.428600013256073},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41850000619888306},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4011000096797943},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.38119998574256897}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5710999965667725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443000197410583},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4837999939918518},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C14641988","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Reservoir modeling","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C183250156","wikidata":"https://www.wikidata.org/wiki/Q5916050","display_name":"Reservoir engineering","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3443000018596649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29260000586509705},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2779142798","wikidata":"https://www.wikidata.org/wiki/Q12089478","display_name":"Well test (oil and gas)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.11376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11376","pdf_url":"https://arxiv.org/pdf/2509.11376","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.11376","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.11376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.11376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11376","pdf_url":"https://arxiv.org/pdf/2509.11376","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,52,116,167],"petroleum":[1,62,210],"industry":[2],"faces":[3],"unprecedented":[4],"challenges":[5],"in":[6,164],"reservoir":[7,50,96,102],"management,":[8],"requiring":[9],"rapid":[10,71],"integration":[11,75,204],"of":[12,205],"complex":[13],"multimodal":[14,45],"datasets":[15],"for":[16,48,70,213],"real-time":[17,170],"decision":[18],"support.":[19],"This":[20,200],"study":[21],"presents":[22],"a":[23],"novel":[24],"integrated":[25],"framework":[26,53,168],"combining":[27],"state-of-the-art":[28],"large":[29],"language":[30],"models":[31,87],"(GPT-4o,":[32],"Claude":[33],"4":[34],"Sonnet,":[35],"Gemini":[36],"2.5":[37],"Pro)":[38],"with":[39,59,88,127,145,173,209],"advanced":[40],"prompt":[41,159],"engineering":[42,63],"techniques":[43],"and":[44,67,81,109,178,193,218],"data":[46,83,171],"fusion":[47],"comprehensive":[49],"analysis.":[51],"implements":[54],"domain-specific":[55],"retrieval-augmented":[56],"generation":[57],"(RAG)":[58],"over":[60],"50,000":[61],"documents,":[64],"chain-of-thought":[65],"reasoning,":[66],"few-shot":[68],"learning":[69,150],"field":[72,152],"adaptation.":[73],"Multimodal":[74],"processes":[76],"seismic":[77],"interpretations,":[78],"well":[79,111],"logs,":[80],"production":[82,106],"through":[84],"specialized":[85],"AI":[86,207],"vision":[89],"transformers.":[90],"Field":[91],"validation":[92],"across":[93],"15":[94],"diverse":[95],"environments":[97],"demonstrates":[98,202],"exceptional":[99],"performance:":[100],"94.2%":[101],"characterization":[103],"accuracy,":[104],"87.6%":[105],"forecasting":[107],"precision,":[108],"91.4%":[110],"placement":[112],"optimization":[113,160],"success":[114],"rate.":[115],"system":[117],"achieves":[118,161],"sub-second":[119],"response":[120],"times":[121],"while":[122,157],"maintaining":[123],"96.2%":[124,174],"safety":[125],"reliability":[126],"no":[128],"high-risk":[129],"incidents":[130,181],"during":[131],"evaluation.":[132],"Economic":[133],"analysis":[134],"reveals":[135],"62-78%":[136],"cost":[137],"reductions":[138],"(mean":[139],"72%)":[140],"relative":[141],"to":[142,197],"traditional":[143],"methods":[144],"8-month":[146],"payback":[147],"period.":[148],"Few-shot":[149],"reduces":[151],"adaptation":[153],"time":[154],"by":[155,182],"72%,":[156],"automated":[158],"89%":[162],"improvement":[163],"reasoning":[165],"quality.":[166],"processed":[169],"streams":[172],"anomaly":[175],"detection":[176],"accuracy":[177],"reduced":[179],"environmental":[180],"45%.":[183],"We":[184],"provide":[185],"detailed":[186],"experimental":[187],"protocols,":[188],"baseline":[189],"comparisons,":[190],"ablation":[191],"studies,":[192],"statistical":[194],"significance":[195],"testing":[196],"ensure":[198],"reproducibility.":[199],"research":[201],"practical":[203],"cutting-edge":[206],"technologies":[208],"domain":[211],"expertise":[212],"enhanced":[214],"operational":[215],"efficiency,":[216],"safety,":[217],"economic":[219],"performance.":[220]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-12T00:00:00"}