Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza...

Seminar on Marine Mineral Resources of the South and Equatorial Atlantic OceanSeminar 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 FuelsNovember 28, 2008

Brazilian Potential for Oil and GasBrazilian Potential for Oil and Gas

Ministério de Minas e Energia

SummarySummary

Introduction Methodology Multivariable Area Relevance Function (FIMA) Petroliferous Area Relevance (IPA) Conclusions


IntroductionIntroduction

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


Development TeamDevelopment 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


O&G Industry in BrazilO&G Industry in Brazil

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NATAL

BELÉM

RECIFE

MACEIÓPALMAS

CUIABÁ

MANAUS

MACAPÁ

ARACAJU

GOIÂNIA

VITÓRIA

SALVADOR

SÃO LUÍS

TERESINA

CURITIBA

FORTALEZA

SÃO PAULO

BOA VISTA

RIO BRANCO

JOÃO PESSOA

PORTO VELHO

CAMPO GRANDE

PORTO ALEGRE

FLORIANÓPOLIS

BELO HORIZONTE

RIO DE JANEIRO

20°0'0"W

20°0'0"W

30°0'0"W

30°0'0"W

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60°0'0"W

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0"

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# Bases combustíveis

UPGN

Produtores_de_Derivados

Refinarias - processamento

Estações

Terminais Petróleo e Gás

Dutos_em_Construção

Dutos em Planejamento

Dutos Instalados

Campos de Producao

blocos exploracao

RODADA - ANO

1 - 1999

2 - 2000

3 - 2001

4 - 2002

5 - 2003

6 - 2004

7 - 2005

9 - 2007Bacias Sedimentares0 350 700 1.050 1.400175

Kilometers


MethodologyMethodology

Database Exploration and production

Prepared to support a first mapping relevance of areas concerning upstream activities

DownstreamData from the infrastructure of oil & gas downstream industry

Reference date: April, 2007


Data Collection: Data Collection: new E&P resourcesnew E&P resources

Common knowledge ANP site

Classified information ANP sheets Data from oil and gas fields

Recent petroleum discoveries from areas under evaluation


Data Collection: Data Collection: undiscovered E&P resourcesundiscovered 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


Data ProcessingData 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)


Database ProcessingDatabase 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


E&P Database TablesE&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


Situação Terra/Mar

Nome da Bacia Sedimentar

Área Sedimentar

(km²)

Fonte de Interpretação

T Acre 97.469 GORCEIX

T Afogados de Ingazeira 264 Não Estudada

T Alagoas 7.620 COPPE T Alto Tapajós 76.524 GORCEIX T Amazonas 606.237 GORCEIX T Araripe 10.091 COPPE T Bananal 87.117 Não Estudada T Barreirinhas 8.849 GORCEIX M Barreirinhas 89.135 GORCEIX T Betânia 261 Não Estudada T Bom Nome 41 Não Estudada T Bragança-Vizeu 7.929 GORCEIX T Camamu-Almada 2.715 COPPE M Camamu-Almada 83.504 COPPE T Campos 6.522 FUNDUNESP M Campos 153.988 FUNDUNESP T Ceará 11.380 GORCEIX M Ceará 153.903 GORCEIX T Cedro 534 Não Estudada T Cumuruxatiba 8.445 COPPE


Sedimentary basins and geographical position



Effective basins (#32):



Effective Plays (#96):

Play chance degree

Main exploratory conditionEstablished Immature New frontier


E&P Database MapsE&P Database Maps



Reservoir attributes for each effective play table:

Segment depth

Lithostratigraphic unit

Lithology

Chronostratigraphic unit

Reservoir chance degree factor



Charge attributes for each effective play table:

Source rock lithostratigraphic unit

Source rock chronostratigraphic unit

Charge chance degree factor



Trap attributes for each effective play table:

Cap rock lithostratigraphic unit

Cap rock lithology

Cap rock chronostratigraphic unit

Trap types

Trap chance degree factor



Main fluid type attributes 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



Effective basins fluid table: Situação Terra/Mar

Nome da Bacia Efetiva Fluidos Predominantes

T Acre Petróleo e Gás T Alagoas Petróleo e Gás

T Amazonas

Gás (Não-Associado); Petróleo e Gás

T Araripe Petróleo

T Barreirinhas Petróleo; Petróleo e Gás

M Barreirinhas

Petróleo; Petróleo e Gás; Gás (Não-Associado)

M Camamu-Almada Petróleo; Petróleo e Gás

M Campos Petróleo

M Ceará Petróleo; Petróleo e Gás

T Cumuruxatiba Petróleo M Cumuruxatiba Petróleo


E&P Database MapsE&P Database Maps



Prospects for each effective play table: Area (sq km) Visibility:

Identified Indicated Conceptual

Possible localization



Exploratory Blocks: Localization

Wells: Localization and results

Oil and natural gas fields: Name Localization Main fluid Type Exploration project stage

EvaluationDevelopment Production


Multivariable Area Relevance FunctionMultivariable Area Relevance Function((Função de Importância Multiargumentos de Área - FIMAFunção de Importância Multiargumentos de Área - FIMA))


Function Construction (FIMA)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)


FIMA’s Variable SelectionFIMA’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

AREA_1: area without any petroleum discoveries

1.Hydrocarbon direct evidence; 2.Relative prospectivity (*); 3.Lack of knowledge; and 4.Exploration activities

AREA_2: area with petroleum discoveries

5.Production activities

AREA_3: area with downstream infrastructure

6.Downstream infrastructure

(*) Higher prospectivity for higher values, classified from 1 to 9


FIMA: Variables Standardization 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

xyIPA = ii

i PxyA

6

1

, onde:

xy : área elementar de aplicação, correspondente a um pixel de 1 km²;

xyAi : valor padronizado do i-ésimo argumento em xy;

iP : peso relativo do i-ésimo argumento, tal que 0,16

1

i

iP . Na presente versão

deste relatório, atribui-se o mesmo peso para todos os argumentos, aproximadamente 17%. Entretanto, a ferramenta utilizada é flexível o bastante para permitir que alterações nesses pesos sejam feitas com relativa facilidade;

xyIPA = 9, se xy pertence a bloco exploratório, a campo de petróleo ou gás, ou a infra-estrutura de abastecimento.

xyIPA = ii

i PxyA

6

1

, onde:

xy : área elementar de aplicação, correspondente a um pixel de 1 km²;

xyAi : valor padronizado do i-ésimo argumento em xy;

iP : peso relativo do i-ésimo argumento, tal que 0,16

1

i

iP . Na presente versão

deste relatório, atribui-se o mesmo peso para todos os argumentos, aproximadamente 17%. Entretanto, a ferramenta utilizada é flexível o bastante para permitir que alterações nesses pesos sejam feitas com relativa facilidade;

xyIPA = 9, se xy pertence a bloco exploratório, a campo de petróleo ou gás, ou a infra-estrutura de abastecimento.


•Hydrocarbon direct evidence- Relative distance to the closest well in the basin which has confirmed the existence of hydrocarbons

IPA: Hydrocarbon Direct Evidence


•Relative prospectivity-Area of the effective basinwith possibility to have anyfield discoveries

IPA: Relative Prospectivity


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


IPA: Lack of Knowledge


• Exploration activities- Relative distance to theclosest exploration block polygon in the basin

IPA: Exploration Activities


• Production activities- Relative distance to theclosest O&G field polygon in thebasin

IPA: Production ActivitiesIPA: Production Activities


•Downstream infrastruture- Distance to the center of the closestdownstream facility. For places outside the sedimentary area the range of 5 kmwas attributed for existent facilities and20 km to the planned ones

IPA: Downstream InfrastructureIPA: Downstream Infrastructure


Petroliferous Relevance AreasPetroliferous Relevance AreasImportância Petrolífera das ÁreasImportância Petrolífera das Áreas

( IPA )( IPA )


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Total IPA (equally weighted)Total IPA (equally weighted)


ConclusionsConclusions

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



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



Maps updating The dynamics of the O&G sector turns the updating

of the database mandatory, in order to keep the maps reliable

Seminar on Marine Mineral Resources of the South and Equatorial Atlantic Ocean Clayton de Souza...

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