Abstract

Sedimentary reservoir rocks generally have complex and heterogeneous pore networks that are related to the original depositional rock texture and subsequent diagenetic alterations. Such alterations are in part controlled by the original mineralogy and sedimentological facies, the compaction history, the involved fluids (and rock/fluid interactions), the flow history and the related physico-chemical conditions. During the diagenetic evolution (paragenesis), cycles of alternating dissolution (porosity enhancement) and precipitation (porosity destruction) caused by changes in chemical and thermodynamic conditions may lead to heterogeneous rock structure at both local and reservoir scale.In the absence of cored plugs to measure the petrophysical properties (i.e. porosity, permeability and formation factor) and multiphase flow properties (i.e. capillary pressure, relative permeability and resistivity index), a numerical tool that calculates these properties from pore structure data by predicting its evolution during the diagenetic cycle is of great interest for the petroleum industry and reservoir characterization studies.A Pore Network Model (PNM) provides opportunities to study transport phenomena in fundamental ways because detailed information is available at the pore scale. It has been used over the last decades to understand basic phenomena such as capillarity, multiphase flow or coupled phenomena. In particular, this modeling approach is appropriate to study the rock/fluid interactions since the mass exchange at surfaces can be modeled explicitly. It can provide quantitative information both on the effective transport property modifications due to the reactions and on the structure evolution resulting from dissolution/precipitation mechanisms. In the present paper, this approach is used to study the effect of the diagenetic cycle on the petrophysical properties of carbonate rocks. It involves three discrete steps. The first step consists of replacing the original complex pore structure of real porous media by a conceptual network. The second step consists of resolving the governing equations of the precipitation and dissolution phenomena (i.e. reactive convection diffusion equation) in the conceptual 3D pore network and deducing the local reactive fluxes and the motion of the fluid-solid interface. The third step consists of updating the new pore structure and calculating the new petrophysical properties of the modified porous media. Those steps are repeated in order to mimic a given diagenetic scenario. Finally, the multiphase flow properties of the current porous media are calculated.The impact of one diagenetic cycle of dissolution and precipitation on the pore networks’ heterogeneity and consequently on the petrophysical properties (i.e. porosity and permeability) and multiphase flow properties (i.e. relative permeability and capillary pressure) have been investigated. The permeability and porosity evolution during a given diagenetic cycle are calculated and analyzed as a function of the relevant dimensionless numbers (Peclet and Damkohler numbers) that characterize the flow and reaction regime. The correlation between these numbers and the dissolved/precipitated layer thickness distribution is investigated.This work contributes to improve the understanding of the impact of dissolution and precipitation on permeability and porosity modification. Using the PNM approach, multiphase flow properties and permeability-porosity relationship have been determined for different reactive flow regimes. These relationships are relevant input data to improve the quality of reservoir simulation predictions.

Highlights

  • Carbonate reservoir rocks generally are characterized by complex and heterogeneous pore networks which are the result of depositional processes and conditions and diagenetic alteration immediately following deposition, through burial and even continuing today (e.g. Choquette and Pray, 1970; Moore, 1989, 2001; Lucia, 1995; Lonoy, 2006)

  • L Algive et al / Impact of Diagenetic Alterations on the Petrophysical and Multiphase Flow Properties of Carbonate Rocks 153 Using a Reactive Pore Network Modeling Approach accurately predict the propagation of the mean chemical disequilibrium causing this change and correctly take into account the local transport and deformation specificities

  • For more complex cases, such as elliptical or triangular capillaries, it is more convenient and robust to numerically determine the spatial moments from a particle cloud propagation using a random walk technique. We have developed both methods and verified that they give the same results for several cases (Algive et al, 2009)

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Summary

INTRODUCTION

Carbonate reservoir rocks generally are characterized by complex and heterogeneous pore networks which are the result of depositional processes and conditions (climate, hydrodynamics, tectonic, etc.) and diagenetic alteration immediately following deposition, through burial and even continuing today (e.g. Choquette and Pray, 1970; Moore, 1989, 2001; Lucia, 1995; Lonoy, 2006). In the absence of cored plugs to measure the petrophysical properties and multiphase flow properties, a numerical tool that simulates these data by predicting the pore structure evolution of the original grain deposit is of great interest for the petroleum industry and reservoir characterization studies. It allows providing the properties variation in space and times, having information of the intensity of the flow and the surface reaction in times. Schematic representation of Lucia’s (1995) petrophysical and rock-fabric classes of dolomites based on similar capillary properties and interparticle-porosity vs permeability values This diagram is brought without modification from Lucia (1995). Various intensities of the alterations are studied in terms of two dimensionless numbers that govern the flow and the reaction regimes (Peclet and Peclet-Damköhler numbers)

MODEL DESCRIPTIONS
Macroscopic Transport Equation
Dimensionless Numbers
Change in Petrophysical Properties
Workflow
RESULTS AND DISCUSSIONS
CONCLUSION
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