By Fadi Henri Nader
This ebook is either a evaluation and a glance to the longer term, highlighting demanding situations for greater predicting quantitatively the effect of diagenesis on reservoir rocks. Classical diagenesis reviews utilize a variety of descriptive analytical options to provide an explanation for particular, quite time-framed fluid-rock interplay methods, and deduce their affects on reservoir rocks. destiny operational workflows will include developing a conceptual diagenesis version, quantifying the similar diagenetic levels, and modelling the diagenetic strategies. cutting edge techniques are rising for utilized quantitative diagenesis, delivering numerical information that may be utilized by reservoir engineers as access (input) information, and for validating result of numerical simulations. Geometry-based, geostatistical and geochemical modelling don't inevitably mimic typical methods, they quite supply moderate suggestions to precise problems.
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Extra resources for Multi-scale Quantitative Diagenesis and Impacts on Heterogeneity of Carbonate Reservoir Rocks
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116 . 2 List of Figures provides constraints related to the sedimentary facies distribution and fluid evolution covering the basin’s complicated history. The investigated reservoir is nested within the basin geomodel and benefits from computed boundary conditions. Geostatistical and/or geochemical RTM methods can be used to infer about reservoir heterogeneities taking into account quantitative diagenesis . . . . . . . . . . . . Results of geochemical RTM simulations achieved by ArXim-CooresTM representing the formation of hydrothermal dolomite fronts (dolomite, anhydrite and porosity%), based on the Marjaba HTD outcrop in central Mount Lebanon (check also Fig.
4 Numerical Modelling of Diagenesis 11 Fig. 12 Results of geostatistical stochastic joint simulations of sedimentary facies and diagnetic imprints of the three stratigraphic units in the Madison Formation, Wyoming—USA; Barbier et al. 2012) This is not a predictive approach but rather an extrapolation workflow based on probability. It certainly helps in illustrating a probabilitybased reservoir heterogeneity, ahead of flow simulations (Fig. 12; discussed further in Chap. 4). Geochemical modelling makes use of thermodynamic and kinetic rules and data-bases to simulate chemical reactions and fluid-rock interactions.
Distributions of rock textures (facies; a), porosity in % (b), SCOC (c) and permeability in mD (d) based on . 101 . 102 . 103 . 41 List of Figures geostatistical modelling involving plurigaussian, FFT-MA, collocated cokriging methods for the PS3 interval (Upper Jurassic Arab D member). Low porosity and permeability dominate the muddy textures, while the packstone and grainy textures portray the highest permeability where SCOC is common to abundant. Maps are view of layer 40 of the 3D model .