{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GJKN37OPIMECTMUD5BMHZC7UCJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c2abcd703735723c37e0a43c80ee2952c6b1a7f78217734eed4a8f1557704967","cross_cats_sorted":["cs.LG","math.OC","stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-05-16T06:27:56Z","title_canon_sha256":"912e2ef49be15f77ae4fdec3f61a3b05f79725663602da3dc94d0f58b4973fc7"},"schema_version":"1.0","source":{"id":"1905.07469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07469","created_at":"2026-05-17T23:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07469v1","created_at":"2026-05-17T23:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07469","created_at":"2026-05-17T23:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"GJKN37OPIMEC","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GJKN37OPIMECTMUD","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GJKN37OP","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:4f2584d344e3960520e167a00524bcef6172f7c5e7bb80feaf719ba13e1f08d0","target":"graph","created_at":"2026-05-17T23:45:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techniques. A new integrated scheme for the reconstruction of petrophysical properties with a modified Ensemble Smoother with Multiple Data Assimilation (ES-MDA) in a synthetic reservoir is proposed. The permeability field inside the reservoir is parametrised with an unsupervised learning approach, namely K-means with Singular Value Decomposition (K-SVD). This is combined with the Orthogonal Matching Pursuit (OMP) techniqu","authors_text":"Clement Etienam","cross_cats":["cs.LG","math.OC","stat.CO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-05-16T06:27:56Z","title":"4D Seismic History Matching Incorporating Unsupervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07469","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:94f6fa44a396459928e6d64590de020603cc7bf91daeb3c0353ecff9bcdaab18","target":"record","created_at":"2026-05-17T23:45:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c2abcd703735723c37e0a43c80ee2952c6b1a7f78217734eed4a8f1557704967","cross_cats_sorted":["cs.LG","math.OC","stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-05-16T06:27:56Z","title_canon_sha256":"912e2ef49be15f77ae4fdec3f61a3b05f79725663602da3dc94d0f58b4973fc7"},"schema_version":"1.0","source":{"id":"1905.07469","kind":"arxiv","version":1}},"canonical_sha256":"3254ddfdcf430829b283e8587c8bf41242caa33c50ca093bb4007f87dc029646","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3254ddfdcf430829b283e8587c8bf41242caa33c50ca093bb4007f87dc029646","first_computed_at":"2026-05-17T23:45:51.276072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:51.276072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HhQVhJEO5zyE6ePqRhXlP62piq9L33ESWKkeUo75s508dBAcFFI+ppHqayAwTTDE5dA6qf4SRm2alosQCO8iAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:51.276699Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.07469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94f6fa44a396459928e6d64590de020603cc7bf91daeb3c0353ecff9bcdaab18","sha256:4f2584d344e3960520e167a00524bcef6172f7c5e7bb80feaf719ba13e1f08d0"],"state_sha256":"6bcc65e7ee9d85f2855705a6625b84699275ec449c86280a1185bc739c002610"}