scholarly journals Weights of evidence modelling: a new approach to mapping mineral potential

1990 ◽  
Author(s):  
G F Bonham-Carter ◽  
F P Agterberg ◽  
D F Wright
2016 ◽  
Vol 34 (1) ◽  
pp. 33
Author(s):  
Bernardo Faria de Almeida ◽  
Renato Lopes Silveira ◽  
Elaine Maria Lopes Loureiro ◽  
Edilson Fernandes de Arruda

ABSTRACT. This article discusses the importance of the favorability evaluation, proposed in data-driven mineral potential maps (MPM), for decision-making in exploratory activities of petroleum and natural gas. We consider geophysical and geological information as evidences that define the essential elements of a petroleum system. We assess such evidences by means of weights of evidence methodology, which makes use of data coming from hydrocarbon discovering wells. We apply the proposed assessment in a case study in Sergipe-Alagoas and employ the results to classify areas of interest in different favorability levels. Keywords: petroleum systems, favorability maps, mineral potential maps, Sergipe-Alagoas basin. RESUMO. Este artigo discute a importância da avaliação de favorabilidades propostas em mapas de potencial mineral, baseados em dados (data-driven), para as tomadas de decisões em atividades exploratórias de petróleo e gás natural. Nós consideramos as informações geológicas e geofísicas como evidências que definem os elementos essenciais de um sistema petrolífero. Avaliamos as evidências através da metodologia de pesos de evidências (weights of evidence), a qual faz uso de dados obtidos a partir de poços descobridores de hidrocarbonetos. Aplicamos a avaliação proposta em um estudo de caso na bacia de Sergipe-Alagoas e empregamos os resultados obtidos para classificar a área de interesse em diferentes níveis de favorabilidade. Palavras-chave: sistemas petrolíferos, mapas de favorabilidade, mapas de potencial mineral, bacia de Sergipe-Alagoas.


2016 ◽  
Vol 34 (1) ◽  
Author(s):  
Bernardo Faria de Almeida ◽  
Renato Lopes Silveira ◽  
Elaine Maria Lopes Loureiro ◽  
Edilson Fernandes de Arruda

ABSTRACT. This article discusses, in the case of petroleum and natural gas exploration, the importance of the favorability evaluation, proposed in data-driven mineral potential maps (MPM), for decision-making in exploratory activities. We consider geophysical and geological information as evidences that define the essential elements of a petroleum system. We assess such evidences by means of weights of evidence methodology, which makes use of data coming from hydrocarbon discovering wells. We apply the proposed assessment in a case study in Sergipe-Alagoas and employ the results to classify areas of interest in different favorability levels.Keywords: petroleum systems, favorability maps, mineral potential maps, Sergipe-Alagoas basin.RESUMO. Este artigo discute, para o caso de exploração de petróleo e gás natural, a importância da avaliação de favorabilidades, propostas em mapas de potencial mineral baseados em dados (data-driven ) para as tomadas de decisões em atividades exploratórias. Nós consideramos as informações geológicas e geofísicas como evidências que definemos elementos essenciais de um sistema petrolífero. Avaliamos as evidências através dametodologia de pesos de evidências (weights of evidence ), a qual faz uso de dados obtidos a partir de poços descobridores de hidrocarbonetos. Aplicamos a avaliação proposta em um estudo de caso na bacia de Sergipe-Alagoas e empregamos os resultados obtidos para classificar a área de interesse em diferentes níveis de favorabilidade.Palavras-chave: sistemas petrolíferos, mapas de favorabilidade, mapas de potencial mineral, bacia de Sergipe-Alagoas.


2006 ◽  
Vol 15 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Telmo F. P. de Quadros ◽  
Jair C. Koppe ◽  
Adelir J. Strieder ◽  
João F. C. L. Costa

2012 ◽  
Vol 630 ◽  
pp. 377-382
Author(s):  
Zhuan Zhe Zhao ◽  
Min Ping Jia ◽  
Kang He ◽  
Hao Zhou ◽  
Yu Jie Ding

Since the information fusion based on Dempster-Shafer(D-S) evidence theory involves counter-intuitive behaviors when evidences highly conflict, a new approach of combination of weighted based on evidence closeness degree is proposed and applied in fault diagnosis.Firstly, the calculation method of evidence distance and evidential closeness degree as well as its revision are given according to the relevance and importance of various evidence sources; Then the closeness degree is normalized in order to obtain the weights of evidence sources. And the information fusion is realized with the base of weighted evidence theory. Finally, the approach is applied to fault diagnosis model of multi-evidences (multi-symptom domains or multi-sensors) in this paper. In the experiments, the proposed approach is compared with the existing combination rules and the results show that the reliability and accuracy of fault diagnosis are significantly improved and its uncertainty is decreased remarkably. The fusion problem given above is also solved effectively.


2015 ◽  
Vol 7 (1) ◽  
pp. 61
Author(s):  
Seang Sirisokha ◽  
Lucas Donny Setijadji ◽  
I Wayan Warmada

Western Java is a part of the Sunda Banda magmatic belt. This belt is well known to be host for several gold deposits in Indonesia, the distribution of 107 Au occurrences in this area was examined in terms of spatial association with various geological phenomena. The goal of this project is to use GIS to conduct weights of evidence (WofE) model for gold mineralization in West Java, Indonesia. A Geographic Information System (GIS) is a computer system for capturing, storing, querying, analyzing, and displaying geospatial data and weight of evidence method is one of the most important datadriven methods for mapping in GIS. The method is a probability based on technique for mapping mineral potential using the spatial distribution of known mineral occurrences. Therefore this method is very useful for gold potential mapping. There are six evidences maps such as NE–SW lineaments NW–SE Lineament, host rocks, heat sources, clay alteration and limonitic alteration, have been combined using a weights of evidence model to predict gold potential in West Java. The best predictive map generated by this method defines 21.62% (9902 km) of study area as favourable zones for gold mineralization further exploration work. It predicts correctly 74 (92.5%) of the 80 model deposits and predicts correctly 26 (96.35%) of the 27 validation deposits, has 6 main 2 prospective target for future exploration are located in Bayah Dome, southern mountain, Honjie Igneous Complex and Bogor zone, Purwakarta. Bayah Dome is highest potential area for gold deposit like Gunung Pongor, Cikidang, Cirotan, Ciawitali, Cikotok destricts and other deposits. The potential area of Au occurrences in research area is associated with NE–SW and NW–SE structure/ lineaments, dominated surrounding the Tertiary intrusive rock unit and hosted in Miocene to Pleistocene lithology rock unit.


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