Application of the Truncated Gaussian Simulation Method to the MM deposit at Codelco Norte, Chile

García, Pedro Carrasco; Ibarra, F.; Loc’h, Gaëlle Le; Rojas, Reinaldo; Séguret, Serge Antoine

doi:10.3997/2214-4609.201405204

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…The pros and cons of these models have been discussed in the literature (Chilès and Delfiner, 2012) and are out of the scope of this work. The applicability of geostatistical simulation, especially plurigaussian, to model the layout of geological domains such as barren dykes has been shown in previous studies (Carrasco et al, 2007;Riquelme et al, 2008;Madani and Emery, 2014;Yunsel and Ersoy, 2013;Talebi et al, 2013Talebi et al, , 2014Rezaee et al, 2014).…”

Section: Introductionmentioning

confidence: 92%

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

Talebi

Asghari

Emery

2015

Journal of Geochemical Exploration

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Section: Introductionmentioning

confidence: 92%

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

Talebi

Asghari

Emery

2015

Journal of Geochemical Exploration

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“…In this model, the simulation is conditioned to the well location. The method was originally designed to provide stochastic images of sedimentary geology and facies (Alabert and Modot, 1992;MacDonald and Aasen, 1994;Damsleth and Holden, 1994;Le Loc'h et al, 1994;Le Loc'h and Galli, 1997;Carrasco et al, 2005).…”

Section: Flow Unit Modellingmentioning

confidence: 99%

FLOW UNIT CLASSIFICATION FOR GEOLOGICAL MODELLING OF A HETEROGENEOUS CARBONATE RESERVOIR: CRETACEOUS SARVAK FORMATION, DEHLURAN FIELD, SW IRAN

Taghavi

Mørk

Kazemzadeh³

2007

Journal of Petroleum Geology

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Flow unit classifications can be used in reservoir characterization and modelling of heterogeneous carbonate reservoirs where there is uncertainty and variability in the distribution of porosity and permeability. A flow unit classification requires the integration of geological and petrophysical data, together with reservoir engineering and production data. In this study, cores and thin sections from the upper part of the Cretaceous Sarvak Formation at the Dehluran field, SW Iran, were studied to identify flow units which were then used in reservoir modelling.Eight flow units were defined based on a classification of depositional environments and diagenetic processes and an evaluation of porosity and permeability. In lagoonal deposits, two flow units were distinguished in terms of dissolution effects (i.e. low or high values of vuggy porosity). In shoal/reef deposits, three flow units were distinguished in terms of cementation volumes and grain frequency. In open-marine deposits, two flow units were identified with different degrees of dissolution; while intrashelf basinal deposits were characterized by a single flow unit with no observable reservoir potential.Each flow unit was characterized by unique values of porosity, permeability, water saturation and pore throat distribution. Grain-supported deposits from high energy depositional environments (shoals) had the highest porosities and permeabilities. However, these rocks were frequently cemented with a consequent reduction in porosity and permeability. By contrast, low permeability mud-supported deposits had undergone dissolution, forming highly permeable flow units. Capillary pressure curves from mercury injection were used to determine the distribution of pore throat sizes and the pore characteristics of the flow units, and were used to give an indication of the productivity of each flow unit.Flow units were modelled using a pixel-based modelling tool. Modelled reservoir characteristics were mainly controlled by facies changes in the vertical direction, and by diagenetic variations in the horizontal direction. Input values for the geometry of the flow units were based on information from geological and diagenetic models of the reservoir, and from thickness maps of the flow units derived from well data.

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“…Based upon the simple truncation of one (Matheron et al, 1987) or several Gaussian Random Fields (Le Loc'h and Galli, 1996;Le Loc'h et al, 1994), it allows to reproduce a wide range of patterns. Applications of the plurigaussian model can be found for mineral resources evaluation (Carrasco et al, 2007;Riquelme et al, 2008;Talebi et al, 2015), in hydrology (Mariethoz et al, 2009). In petroleum, some authors use the plurigaussian models in link with history matching (Hu, 2000;Liu and Oliver, 2004;Romary, 2010).…”

Section: Introductionmentioning

confidence: 99%

A pairwise likelihood approach for the empirical estimation of the underlyingvariograms in the plurigaussian models

Desassis,

Renard,

Beucher

et al. 2015

Preprint

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The plurigaussian model is particularly suited to describe categorical regionalized variables. Starting from a simple principle, the thresholding of one or several Gaussian random fields (GRFs) to obtain categories, the plurigaussian model is well adapted for a wide range of situations. By acting on the form of the thresholding rule and/or the threshold values (which can vary along space) and the variograms of the underlying GRFs, one can generate many spatial configurations for the categorical variables. One difficulty is to choose variogram model for the underlying GRFs. Indeed, these latter are hidden by the truncation and we only observe the simple and cross-variograms of the category indicators. In this paper, we propose a semiparametric method based on the pairwise likelihood to estimate the empirical variogram of the GRFs. It provides an exploratory tool in order to choose a suitable model for each GRF and later to estimate its parameters. We illustrate the efficiency of the method with a Monte-Carlo simulation study . The method presented in this paper is implemented in the R package RGeostats.

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Application of the Truncated Gaussian Simulation Method to the MM deposit at Codelco Norte, Chile

Cited by 5 publications

References 4 publications

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

FLOW UNIT CLASSIFICATION FOR GEOLOGICAL MODELLING OF A HETEROGENEOUS CARBONATE RESERVOIR: CRETACEOUS SARVAK FORMATION, DEHLURAN FIELD, SW IRAN

A pairwise likelihood approach for the empirical estimation of the underlyingvariograms in the plurigaussian models

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