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Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza Pontes Ministry of Mines

Brazilian Potential for Oil and Gas. Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza Pontes Ministry of Mines and Energy Secretariat of Petroleum, Natural Gas and Renewable Fuels November 28, 2008. Summary. Introduction Methodology

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Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza Pontes Ministry of Mines

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  1. Brazilian Potential for Oil and Gas Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza Pontes Ministry of Mines and Energy Secretariat of Petroleum, Natural Gas and Renewable Fuels November 28, 2008

  2. Summary • Introduction • Methodology • Multivariable Area Relevance Function (FIMA) • Petroliferous Area Relevance (IPA) • Conclusions

  3. Introduction • Objective • To set up an updated database, with mapped zones, containing the relative economical relevance of different regions in Brazil, concerning the oil and gas sector • Importance • Territorial ordination programs • Sedimentary basins relevance for oil industry activities (upstream and downstream) • Planning block offers at bid rounds • Redirect Agency resources to the study of sedimentary basins • Annual revision, based on updated information

  4. Development Team • MME/SPG-EPE Agreement: National Zoning of Oil and Gas Resources • Team MME/SPG • João José de Nora Souto - Secretário-Adjunto de Petróleo, Gás Natural e Combustíveis Renováveis • José Botelho Neto - Diretor de Política de Exploração e Produção de Petróleo e Gás Natural • Clayton de Souza Pontes - Coordenador-Geral • Antônio Henrique Godoy Ramos - Gestor • Team EPE • Ricardo Nascimento e Silva do Valle - Superintendente de Petróleo • Reneu Rodrigues da Silva - coordenação técnica • Claudio Bettini • Norival Brisola • Saulo Pedrinha Guimarães • Jefferson Acioli Machado • Regina Freitas Fernandes • Gildo Gabriel da Costa • Marcos Frederico Souza • Aldeir Dias Bernardo

  5. O&G Industry in Brazil

  6. Methodology • Database • Exploration and production • Prepared to support a first mapping relevance of areas concerning upstream activities • Downstream • Data from the infrastructure of oil & gas downstream industry • Reference date:April, 2007

  7. Data Collection: new E&P resources • Common knowledge  ANP site • Classified information  ANP sheets • Data from oil and gas fields • Recent petroleum discoveries from areas under evaluation

  8. Data Collection: undiscovered E&P resources • Strategy 1: geological approach using plays • Strategy 2: engage university support: • GORCEIX Foundation  Northern basins • COPPETEC Foundation  Eastern basins • FUNDUNESP Foundation  Southern basins • Strategy 3: focus on acquired knowledge about the areas, avoiding new geological interpretation

  9. Data Processing • Attributes definition: • Mappable • Relevant (to the relevance function) • Complementary (with relevance for the O&G sector) • Three data sets for analysis • Areas with undiscovered resourses or potential (1) • Area with discovered resources (2) • Areas with infrastructure (3)

  10. Database Processing • The attributes defined for the database were inserted into a geographical information system, becoming a set of georeferenced tables which can be visualized as a map

  11. E&P Database Tables • Effective basins • Effective Basin Area (sq km): Sedimentary basin subset with real chances for petroleum or natural gas accumulations. Can also be defined as the geographical union of their effective plays • Absolute Prospectivity (sq km): Prospective area with a regional geologic risk, representing the total area of the prospects weighted by the related subplay chances • Relative Prospectivity (%): Ratio between the Absolute Prospectivity and the Effective Area

  12. E&P Database Tables • Sedimentary basins and geographical position

  13. E&P Database Tables • Effective basins (#32):

  14. E&P Database Tables • Effective Plays (#96): • Play chance degree • Main exploratory condition • Established • Immature • New frontier

  15. E&P Database Maps

  16. E&P Database Tables • Reservoir attributes for each effective play table: • Segment depth • Lithostratigraphic unit • Lithology • Chronostratigraphic unit • Reservoir chance degree factor

  17. E&P Database Tables • Charge attributes for each effective play table: • Source rock lithostratigraphic unit • Source rock chronostratigraphic unit • Charge chance degree factor

  18. E&P Database Tables • Trap attributes for each effective play table: • Cap rock lithostratigraphic unit • Cap rock lithology • Cap rock chronostratigraphic unit • Trap types • Trap chance degree factor

  19. E&P Database Tables • Main fluid typeattributes for each effective play table: • Natural gas chance factor in case of hydrocarbon discovery • Light to medium petroleum chance factor in case of hydrocarbon discovery • Light petroleum chance factor in case of light to medium petroleum discovery • Expected main fluid type

  20. E&P Database Tables • Effective basins fluid table:

  21. E&P Database Maps

  22. E&P Database Tables • Prospects for each effective play table: • Area (sq km) • Visibility: • Identified • Indicated • Conceptual • Possible localization

  23. E&P Database Tables • Exploratory Blocks: Localization • Wells: Localization and results • Oil and natural gas fields: • Name • Localization • Main fluid Type • Exploration project stage • Evaluation • Development • Production

  24. Multivariable Area Relevance Function (Função de Importância Multiargumentos de Área - FIMA)

  25. Function Construction (FIMA) • General concept: • It is a function to be applied over each studied element area in order to define its relevance (IPA) for the petroleum and natural gas sector • IPA = FIMA (AREA)

  26. FIMA’s Variable Selection • Six variables were chosen based on E&P information, which were applied over the three types of areas defined for the work with their degree of relevance for the oil and natural gas sector (*) Higher prospectivity for higher values, classified from 1 to 9

  27. FIMA: Variables Standardization • The relevance of the basin area was classified from 1 to 9 according to the distance from the main information • Where: • xy: size of the application area (pixel of 1 sq km) • Ai (xy): standard value for the arguments in the xy position • Pi: relative weight for the argument, considering • For this work the weight was 17% for all arguments

  28. IPA: Hydrocarbon Direct Evidence • Hydrocarbon direct evidence • Relative distance to the closest • well in the basin which has • confirmed the existence of • hydrocarbons

  29. IPA: Relative Prospectivity • Relative prospectivity • Area of the effective basin • with possibility to have any • field discoveries

  30. IPA: Lack of Knowledge • Lack of knowledge • Match between the chance degree and the exploratory stage of each play (from 1 to 9 according to the degree of knowledge) • The result means the uncertainty of the behavior for the regional geological factors related to the O&G accumulations • The higher values for this argument shows the least studied areas in the basins. • Areas out of the effective basin got the value 1

  31. IPA: Lack of Knowledge

  32. IPA: Exploration Activities • Exploration activities • - Relative distance to the • closest exploration block polygon • in the basin

  33. IPA: Production Activities • Production activities • Relative distance to the • closest O&G field polygon in the • basin

  34. IPA: Downstream Infrastructure • Downstream infrastruture • - Distance to the center of the closest • downstream facility. For places outside • the sedimentary area the range of 5 km • was attributed for existent facilities and • 20 km to the planned ones

  35. Petroliferous Relevance Areas Importância Petrolífera das Áreas ( IPA )

  36. Total IPA (equally weighted)

  37. Conclusions • In this project a georeferenced database was built, with hundreds of mappable attributes, of which some are original, related to the oil and gas sector relevance of any area in the country • The results are unpublished and specially important for the Ministry of Mines and Energy • It can be improved in other projects with additional information and interpretation • It can be used to support Exploration and Production policies related to the National Energy Plan

  38. Conclusions • The final map (IPA) from this project allows evaluating the relevance of places greater than 1 sq km for the O&G sector up to the range of 200 miles from the shore line • The final map of IPA also shows that most of the country area has some relevance for the O&G sector. Exceptions are some basement areas without infrastructure and sedimentary basins with no potential for oil and gas • The basins with higher degree of E&P activities, like most of the offshore basins, are pointed in the maps with higher relevance, as expected

  39. Conclusions • Maps updating • The dynamics of the O&G sector turns the updating of the database mandatory, in order to keep the maps reliable

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