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Porosity Prediction in Campos Basin BM-C 37/38 Blocks, Offshore Brazil
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, Jun 2012, cp-293-00592
- ISBN: 978-90-73834-27-9
Abstract
We predicted the porosity volumes using multivariate and neural-network analyses for the the upper Cretaceous Carapebus sands and Albian Quissama carbonates in Campos Basin BM-C-37/38 exploration blocks, offshore Brazil. There are three wells on the blocks for the purpose of statistical analysis and neural network training. The predicted Albian porosity matches well with the well information and the results were used to improve the understanding of reservoir presence and connectivity and for horizontal well planning. On the other hand, we deemed the predicted Carapebus porosity unreliable due to a low validation value and geological reasoning. We concluded that neural-network predictions can be useful in BM-C-37/38 blocks with only three wells; but proper quality control and integration with geological interpretation are essential.