Generation of Turbidite Probability Scenarios Using Geostatistical Methods

  • Eduardo Sarruf PUC-Rio
  • Angélica N. Caseri PUC-Rio
  • Abelardo Barreto PUC-Rio
  • Sinesio Pesco PUC-Rio


Turbidite deposits are known to be potential oil reservoirs. The techniques used to detect these deposits are usually indirect measurement methods, normally, using sound waves emission. From several studies, it is known that these data have uncertainties. With the development of new technologies and the relevance of the oil exploration area, this theme has been gaining importance. However, this issue remains a major challenge for the scientific community. This work aims to develop a method based on geostatistics to generate possible scenarios (ensembles) that allow to quantify the uncertainties of the data used to identify turbidite deposits. For this, a set of coordinates extracted from the F3 field was used as study area. The results obtained showed that the methodology proposed in this study is appropriate to quantify the uncertainties in the detection of turbidite deposits.
Palavras-chave: Cross-validation, kriging, sequential Gaussian simulation (SGS), turbidite lobes, variogram.
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SARRUF, Eduardo; CASERI, Angélica N.; BARRETO, Abelardo; PESCO, Sinesio. Generation of Turbidite Probability Scenarios Using Geostatistical Methods. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 33. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 474-478.