{"doi":"10.2118/10521-ms","title":"Reservoir Simulation and the In-house Vector Processor: Experience for the First Year","abstract":"<jats:title>ABSTRACT</jats:title>\n               <jats:p>Over the past year, ARCO Oil and Gas Company has had the first large scale in-house vector processor (the CRAY-1S) in the oil industry. During that time, a considerable effort has been spent on conversion of reservoir simulator codes to perform efficiently in a vector processor environment. The following paper describes some of the more important aspects of these experiences during the past year. The vector strongly implicit procedure algorithm is presented along with timing comparisons. A unique method for vectorization of a compositional reservoir simulation model is also presented. The paper discusses difficulties with the IBM/CRAY interface and how these were overcome. Finally, a method is described for utilizing the capabilities of the CRAY-1S I/O processor for problems that are not contained in memory.</jats:p>","journal":"SPE Reservoir Simulation Symposium","year":1982,"id":26952,"datarank":1.4777007791978525,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":1.0929583755786219,"self_endowment_contribution":0.38474240361923057,"citer_contribution":1.0929583755786219,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":10,"citers_with_citation_signal":10,"citers_with_endowment":10,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":154744,"name":"J. M. Levesque","orcid":null,"position":1,"is_corresponding":false},{"id":154743,"name":"J. E. Killough","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18998881","pmcid":null,"openalex_id":"https://openalex.org/W2021345648","authors":[],"funders":[],"total_grants":0,"fwci":2.4905,"citation_percentile":0.88065925,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://onepetro.org/spersc/proceedings-pdf/doi/10.2118/10521-MS/3315771/spe-10521-ms.pdf","host_type":"publisher"},{"url":"https://doi.org/10.2118/10521-ms","host_type":""}],"fields_of_study":["Reservoir Engineering and Simulation Methods","Distributed and Parallel Computing Systems","Enhanced Oil Recovery Techniques","Computer Science","Engineering"],"mesh_terms":[],"keywords":["Vectorization (mathematics)","Vector processor","IBM","Computer science","Parallel computing","Interface (matter)","Computational science","Simulation"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-08T16:07:26.138958Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}