Download Geostatistics Rio 2000: Proceedings of the Geostatistics by M. Armstrong, C. Bettini, N. Champigny, A. Galli, A. Remacre PDF

By M. Armstrong, C. Bettini, N. Champigny, A. Galli, A. Remacre (auth.), M. Armstrong, C. Bettini, N. Champigny, A. Galli, A. Remacre (eds.)

Geostatistics Rio 2000 comprises fifteen contributions, 5 of that are on functions in petroleum technological know-how and ten are on mining geostatistics. those contributions have been awarded on the thirty first foreign Geological Congress, held in Rio de Janeiro, Brazil, from 6-17 August, 2000. Stochastic simulation used to be the most important subject of those case reviews. quite a lot of tools was once used: truncated gaussian and plurigaussian, SIS and SGS, boolean equipment and multi-point attractors.

Audience: the amount can be of worth to scientists, researchers, and pros in geology, mining engineering, petroleum engineering, arithmetic and information, in addition to these operating for mining and oil businesses.

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Extra info for Geostatistics Rio 2000: Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000

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I Q Figures 4a and 4b The 5 wells with erosion at the top (central part) and the corresponding vertical proportion curve. 26 Ravenne et al Sometimes very little information is available at certain levels. For example the upper part of the three central wells shown in Fig 2a were strongly eroded. Fig 4a shows these three wells plus the adjacent ones. Fig 4b shows the VPC obtained after smoothing. As the base of the reservoir was used as the reference level, less information is available at the top to compute the proportions.

6. Conclusions A recently developed computer program was used to more accurately characterise the three interpreted styles of fluvial deposition, which include the following, in stratigraphic succession: 1) amalgamated channel complexes; 2) amalgamated to semi-amalgamated bar complexes; and 3) isolated bar complexes. The computer program enables the user to define the geometry, size, and distribution of objects or depositional elements, such as fluvial bars, and the program then distributes them along a stochastic o~ user-defined thalweg.

Fig 2, 3,5 and 9c present example of this case. Smoothing can considerably improve the stratigraphic signature. Compare Fig 3 and 9b where VPC were computed on similar environments but in the reverse order). 2 Unit with variable thickness (differential subsidence) without erosion at the boundaries. This type of deposition is exactly the same as in Fig 2a except that the substratum has been affected by regular differential subsidence. So, if the stratigraphic signature is correct, the one seen in Fig 3 should be obtained.

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