Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W3090546418', 'doi': 'https://doi.org/10.1190/segam2020-3426303.1', 'title': 'Natural gas detection in onshore data using transfer learning from a LSTM pre-trained with offshore data', 'display_name': 'Natural gas detection in onshore data using transfer learning from a LSTM pre-trained with offshore data', 'publication_year': 2020, 'publication_date': '2020-09-30', 'ids': {'openalex': 'https://openalex.org/W3090546418', 'doi': 'https://doi.org/10.1190/segam2020-3426303.1', 'mag': '3090546418'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1190/segam2020-3426303.1', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5077072478', 'display_name': 'Lívia Fajin de Mello dos Santos', 'orcid': 'https://orcid.org/0000-0002-5613-7976'}, 'institutions': [{'id': 'https://openalex.org/I2699952', 'display_name': 'Pontifical Catholic University of Rio de Janeiro', 'ror': 'https://ror.org/01dg47b60', 'country_code': 'BR', 'type': 'education', 'lineage': ['https://openalex.org/I2699952']}], 'countries': ['BR'], 'is_corresponding': False, 'raw_author_name': 'Luiz Fernando Santos', 'raw_affiliation_strings': ['PUC-Rio'], 'affiliations': [{'raw_affiliation_string': 'PUC-Rio', 'institution_ids': ['https://openalex.org/I2699952']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5026106169', 'display_name': 'Marcelo Gattass', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I2699952', 'display_name': 'Pontifical Catholic University of Rio de Janeiro', 'ror': 'https://ror.org/01dg47b60', 'country_code': 'BR', 'type': 'education', 'lineage': ['https://openalex.org/I2699952']}], 'countries': ['BR'], 'is_corresponding': False, 'raw_author_name': 'Marcelo Gattass', 'raw_affiliation_strings': ['PUC-Rio'], 'affiliations': [{'raw_affiliation_string': 'PUC-Rio', 'institution_ids': ['https://openalex.org/I2699952']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5057598901', 'display_name': 'Aristófanes Corrêa Silva', 'orcid': 'https://orcid.org/0000-0003-0423-2514'}, 'institutions': [{'id': 'https://openalex.org/I4210162390', 'display_name': 'Universidad Filadelfia de México', 'ror': 'https://ror.org/053d5gs04', 'country_code': 'MX', 'type': 'education', 'lineage': ['https://openalex.org/I4210162390']}], 'countries': ['MX'], 'is_corresponding': False, 'raw_author_name': 'Aristofanes Correa Silva', 'raw_affiliation_strings': ['UFMA'], 'affiliations': [{'raw_affiliation_string': 'UFMA', 'institution_ids': ['https://openalex.org/I4210162390']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5011904298', 'display_name': 'Frederico Carnevalli De Miranda', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Frederico Miranda', 'raw_affiliation_strings': ['Eneva Company'], 'affiliations': [{'raw_affiliation_string': 'Eneva Company', 'institution_ids': []}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5085534018', 'display_name': 'Carlos Siedschlag', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Carlos Siedschlag', 'raw_affiliation_strings': ['Eneva Company'], 'affiliations': [{'raw_affiliation_string': 'Eneva Company', 'institution_ids': []}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5046882659', 'display_name': 'Bernardete Ribeiro', 'orcid': 'https://orcid.org/0000-0002-2150-4561'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Roberto Ribeiro', 'raw_affiliation_strings': ['Eneva Company'], 'affiliations': [{'raw_affiliation_string': 'Eneva Company', 'institution_ids': []}]}], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.289, 'has_fulltext': False, 'cited_by_count': 4, 'citation_normalized_percentile': {'value': 0.416133, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 78, 'max': 80}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10271', 'display_name': 'Seismic Waveform Inversion in Geophysics', 'score': 0.9994, '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 Waveform Inversion in Geophysics', 'score': 0.9994, '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/T11757', 'display_name': 'High-Resolution Seismic Noise Tomography', 'score': 0.9984, '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/T13018', 'display_name': 'Machine Learning for Earthquake Early Warning Systems', 'score': 0.9959, '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/transfer-of-learning', 'display_name': 'Transfer of learning', 'score': 0.5960683}, {'id': 'https://openalex.org/keywords/seismic-survey', 'display_name': 'Seismic survey', 'score': 0.59012353}, {'id': 'https://openalex.org/keywords/seismic-data-processing', 'display_name': 'Seismic Data Processing', 'score': 0.495407}], 'concepts': [{'id': 'https://openalex.org/C162284963', 'wikidata': 'https://www.wikidata.org/wiki/Q17106102', 'display_name': 'Submarine pipeline', 'level': 2, 'score': 0.85184836}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.61523277}, {'id': 'https://openalex.org/C150899416', 'wikidata': 'https://www.wikidata.org/wiki/Q1820378', 'display_name': 'Transfer of learning', 'level': 2, 'score': 0.5960683}, {'id': 'https://openalex.org/C2994066282', 'wikidata': 'https://www.wikidata.org/wiki/Q1500431', 'display_name': 'Seismic survey', 'level': 2, 'score': 0.59012353}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.5199358}, {'id': 'https://openalex.org/C95623464', 'wikidata': 'https://www.wikidata.org/wiki/Q1096149', 'display_name': 'Classifier (UML)', 'level': 2, 'score': 0.4831428}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.46699253}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.41226903}, {'id': 'https://openalex.org/C165205528', 'wikidata': 'https://www.wikidata.org/wiki/Q83371', 'display_name': 'Seismology', 'level': 1, 'score': 0.3497073}, {'id': 'https://openalex.org/C111368507', 'wikidata': 'https://www.wikidata.org/wiki/Q43518', 'display_name': 'Oceanography', 'level': 1, 'score': 0.17084724}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1190/segam2020-3426303.1', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 17, 'referenced_works': ['https://openalex.org/W1969063328', 'https://openalex.org/W2044465660', 'https://openalex.org/W2592421213', 'https://openalex.org/W2592517375', 'https://openalex.org/W2619324788', 'https://openalex.org/W2767399675', 'https://openalex.org/W2887057695', 'https://openalex.org/W2891932361', 'https://openalex.org/W2899699175', 'https://openalex.org/W2900510522', 'https://openalex.org/W2939587785', 'https://openalex.org/W2960152578', 'https://openalex.org/W2968172054', 'https://openalex.org/W2988868065', 'https://openalex.org/W2995504702', 'https://openalex.org/W3098280390', 'https://openalex.org/W4240485910'], 'related_works': ['https://openalex.org/W4307665021', 'https://openalex.org/W4214772838', 'https://openalex.org/W3217133928', 'https://openalex.org/W3201126466', 'https://openalex.org/W3122975026', 'https://openalex.org/W2977414757', 'https://openalex.org/W2512067254', 'https://openalex.org/W2394473789', 'https://openalex.org/W2381712804', 'https://openalex.org/W2158550890'], 'abstract_inverted_index': {'PreviousNext': [0], 'No': [1], 'AccessSEG': [2], 'Technical': [3, 380, 449], 'Program': [4, 381, 450], 'Expanded': [5, 382, 451], 'Abstracts': [6, 383, 452], '2020Natural': [7], 'gas': [8, 100, 131, 259, 433], 'detection': [9, 434], 'in': [10, 112, 173, 223, 229, 250, 263, 306, 309, 330, 395, 435], 'onshore': [11, 178, 248, 310, 436], 'data': [12, 280, 358, 368, 437], 'using': [13, 438], 'transfer': [14, 190, 241, 439], 'learning': [15, 117, 191, 242, 440], 'from': [16, 102, 441], 'a': [17, 109, 135, 163, 189, 202, 212, 246, 316, 442], 'LSTM': [18, 443], 'pre-trained': [19, 444], 'with': [20, 267, 398, 445], 'offshore': [21, 180, 231, 446], 'dataAuthors:': [22], 'Luiz': [23, 416], 'Fernando': [24, 32, 417], 'SantosMarcelo': [25], 'GattassAristofanes': [26], 'Correa': [27, 49, 422], 'SilvaFrederico': [28], 'MirandaCarlos': [29], 'SiedschlagRoberto': [30], 'RibeiroLuiz': [31], 'SantosPUC-RioSearch': [33], 'for': [34, 42, 51, 60, 69, 79, 166, 360], 'more': [35, 43, 52, 61, 70, 80, 268], 'papers': [36, 44, 53, 62, 71, 81], 'by': [37, 45, 54, 63, 72, 82, 296, 400], 'this': [38, 46, 55, 64, 73, 83, 183, 312], 'author,': [39, 47, 56, 65, 74], 'Marcelo': [40, 419], 'GattassPUC-RioSearch': [41], 'Aristofanes': [48, 421], 'SilvaUFMASearch': [50], 'Frederico': [57, 424], 'MirandaEneva': [58], 'CompanySearch': [59, 68, 78], 'Carlos': [66, 426], 'SiedschlagEneva': [67], 'and': [75, 179, 198, 217, 274, 281, 287, 300, 322, 364, 374, 428], 'Roberto': [76, 429], 'RibeiroEneva': [77], 'authorhttps://doi.org/10.1190/segam2020-3426303.1': [84], 'SectionsSupplemental': [85], 'MaterialAboutPDF/ePub': [86], 'ToolsAdd': [87], 'to': [88, 125, 187, 193, 201, 219, 245, 318], 'favoritesDownload': [89], 'CitationsTrack': [90], 'CitationsPermissions': [91], 'ShareFacebookTwitterLinked': [92], 'InRedditEmail': [93], 'AbstractThe': [94], 'challenging': [95], 'task': [96], 'of': [97, 115, 129, 138, 144, 152, 205, 239, 272, 277, 327, 403, 406], 'automatically': [98], 'detecting': [99], 'accumulation': [101], 'seismic': [103, 140, 161, 206, 227, 279], 'reflection': [104], 'surveys': [105], 'has': [106], 'recently': [107], 'gained': [108], 'new': [110], 'interest': [111], 'the': [113, 127, 157, 224, 230, 237, 251, 256, 264, 304, 328, 401], 'emergence': [114], 'deep': [116, 361], 'algorithms.': [118], 'These': [119], 'algorithms': [120], 'have': [121], 'an': [122, 195], 'excellent': [123], 'potential': [124, 130], 'assist': [126], 'interpretation': [128], 'reservoirs': [132], 'but': [133], 'require': [134], 'large': [136], 'amount': [137], 'labeled': [139, 146], 'data.': [141, 181], 'The': [142, 289], 'production': [143], 'these': [145], 'data,': [147], 'however,': [148], 'requires': [149], 'many': [150], 'hours': [151], 'expert': [153], 'work.': [154], 'Furthermore,': [155], 'given': [156], 'variance': [158], 'between': [159], 'different': [160, 203], 'surveys,': [162], 'solution': [164], 'designed': [165], 'one': [167, 326], 'survey': [168, 228, 249], 'may': [169], 'not': [170], 'perform': [171], 'well': [172], 'another,': [174], 'especially': [175], 'when': [176], 'comparing': [177], 'In': [182], 'work,': [184], 'we': [185], 'propose': [186], 'use': [188], 'methodology': [192, 290], 'expand': [194], 'existing': [196, 258], 'classifier': [197], 'apply': [199], 'it': [200], 'type': [204], 'survey.': [207], 'Our': [208], 'base': [209], 'model': [210, 313], 'is': [211], 'Recurrent': [213], 'Neural': [214], 'Network': [215], 'trained': [216], 'adjusted': [218], 'detect': [220], 'bright': [221], 'spots': [222], 'F3': [225], '3D': [226, 278], 'North': [232], 'Sea,': [233], 'Netherlands.': [234], 'We': [235], 'present': [236], 'results': [238, 294], 'our': [240], 'proposal': [243], 'applied': [244], '2D': [247, 273], 'Parnaiba': [252], 'Basin,': [253], 'Brazil.': [254], 'All': [255], 'nines': [257], 'fields': [260], 'were': [261], 'discovered': [262], 'last': [265], 'decade': [266], 'then': [269], '20,000': [270], 'km': [271], '482': [275], 'km2': [276], '150': [282], 'drilled': [283], 'wells,': [284], 'among': [285], 'exploration': [286], 'production.': [288], 'presented': [291], 'here': [292], 'yielded': [293], 'evaluated': [295], 'recall,': [297], 'specificity,': [298], 'accuracy,': [299], 'AUC': [301], 'indexes.': [302], 'Considering': [303], 'growth': [305], 'E&P': [307], 'activities': [308], 'Brazil,': [311], 'could': [314], 'be': [315, 323], 'tool': [317], 'reduce': [319], 'geological': [320], 'risk': [321], 'considered': [324], 'as': [325], 'criteria': [329], 'prospect': [331], 'ranking.Presentation': [332], 'Date:': [333], 'Tuesday,': [334], 'October': [335], '13,': [336], '2020Session': [337], 'Start': [338], 'Time:': [339, 342], '1:50': [340], 'PMPresentation': [341], '2:15': [343], 'PMLocation:': [344], 'Poster': [345], 'Station': [346], '10Presentation': [347], 'Type:': [348], 'PosterKeywords:': [349], 'gas,': [350], 'neural': [351], 'networks,': [352], 'machine': [353], 'learningPermalink:': [354], 'https://doi.org/10.1190/segam2020-3426303.1FiguresReferencesRelatedDetailsCited': [355], 'byBuilding': [356], 'training': [357], 'set': [359], 'learning-based': [362], 'P-': [363], 'S-wave': [365], 'separation:': [366], 'Field': [367], 'caseYanwen': [369], 'Wei,': [370], 'Yunyue': [371], 'Elita': [372], 'Li,': [373], 'Haohuan': [375], 'Fu1': [376], 'September': [377], '2021': [378], 'SEG': [379, 448], '2020ISSN': [384], '(print):1052-3812': [385], 'ISSN': [386], '(online):1949-4645Copyright:': [387], '2020': [388, 393, 413], 'Pages:': [389], '3887': [390], 'publication': [391], 'data©': [392], 'Published': [394], 'electronic': [396], 'format': [397], 'permission': [399], 'Society': [402], 'Exploration': [404, 407], 'GeophysicistsPublisher:Society': [405], 'Geophysicists': [408], 'HistoryPublished': [409], 'Online:': [410], '30': [411], 'Sep': [412], 'CITATION': [414], 'INFORMATION': [415], 'Santos,': [418], 'Gattass,': [420], 'Silva,': [423], 'Miranda,': [425], 'Siedschlag,': [427], 'Ribeiro,': [430], '(2020),': [431], '"Natural': [432], 'data,"': [447], ':': [453], '1190-1195.': [454], 'https://doi.org/10.1190/segam2020-3426303.1': [455], 'Plain-Language': [456], 'Summary': [457], 'Keywordsgasneural': [458], 'networksmachine': [459], 'learningPDF': [460], 'DownloadLoading': [461], '...': [462]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3090546418', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 2}], 'updated_date': '2024-09-09T13:59:12.315517', 'created_date': '2020-10-08'}