Geochemical Modeling of Wormhole Propagation in Carbonate Acidizing Considering Mineralogy Heterogeneity

SPE Journal ◽  
2019 ◽  
Vol 24 (05) ◽  
pp. 2163-2181 ◽  
Author(s):  
W.. Wei ◽  
A.. Varavei ◽  
A.. Sanaei ◽  
K.. Sepehrnoori

Summary Matrix acidizing is a widely used stimulation process during which acid is injected into the formation at pressures that are less than the fracturing pressure. The purpose of matrix acidizing is to improve formation permeability or to bypass damaged zones through rock dissolution. Because of precipitation and diagenesis, carbonate rocks might contain different compositions, including calcite (CaCO3), dolomite [CaMg(CO3)2], and other minerals. When acid is injected into the formation, reactions between acid and multiple minerals of carbonate rocks occur simultaneously. In this paper, a two–scale continuum model is implemented in UTCOMP, a 3D compositional reservoir simulator, coupled with IPhreeqc, a generalized code of PHREEQC as a module. PHREEQC is an open–source program that performs a wide variety of geochemical calculations (Charlton and Parkhurst 2011). For the UTCOMP/IPhreeqc coupled model, the two–scale continuum model describes the mechanisms of convection and dispersion, whereas IPhreeqc is used for the calculation of reactions between aqueous phase and minerals. We have validated the simulation model through comparison with the analytical solution. We also compared the UTCOMP/IPhreeqc coupled model with a simple–reaction model, in which the reaction is assumed to be a first–order reaction between acid and calcite, by modifying the IPhreeqc database to obtain consistent results. On this basis, we have investigated the effects of mineral compositions on acidizing efficiency and the wormhole–propagation process. It is found that mineralogy heterogeneity is a key factor that affects acidizing efficiency and the dissolution structure. This work contributes to simulating the acidizing process with complex geochemical reactions considering the chemistry of the aqueous solution interacting with minerals. The presented model improves our understanding of carbonate–acidizing optimization.

2019 ◽  
Vol 16 (32) ◽  
pp. 108-118
Author(s):  
Marcos Antônio KLUNK ◽  
Sudipta DASGUPTA ◽  
Mohuli DAS ◽  
Paulo Roberto WANDER

The numerical modeling of transport and reaction was used for the understanding of the evolution of the diagenetic processes and their importance in the characterization and prediction of oil reservoir quality. Geochemical models are represented by numerical equations based on the physical-chemical properties of minerals. There are many software’s available in the market to simulate systems and geochemical reactions. The codes are divided into three distinct categories: coupled transport of reaction, modeling speciation, and batch mode according to the numerical method. Simple systems have clear connections between inputs and outputs. Complex systems have multiple factors that provide a probability distribution of data inputs that interact in specific functions. The outputs produced as a result are therefore impossible to predict with complete accuracy. Several research groups tried to develop numerical codes for geochemical modeling. The critical factors for the use of these systems are (i) verification of the simulation results with empirical data set and (ii) sensitivity analysis of these results, for the construction of general models which provide a predictive character. This last factor is particularly important as it establishes the qualitative and quantitative impact of each parameter in the simulations. Thus, with a complete numerical model diagenetic, it is possible to perform various simulations modifying one or the other parameter to test the sensitivity in the construction of these different geological scenarios. This set includes mineral composition and texture, the composition of fluids, paragenetic sequence, and burial history. This work brings fundamental concepts related to this topic as well as an analysis of commercial software available.


2021 ◽  
Vol 25 (6 Part B) ◽  
pp. 4415-4421
Author(s):  
Zheng-Zheng Cao ◽  
Yu-Feng Xue ◽  
Hao Wang ◽  
Jia-Rui Chen ◽  
Yu-Lou Ren

The fault water inrush is a key factor which leads to tunnel construction in karst regions. Based on the fluid mechanics principles, the paper addresses a numer?ical coupled model for karst fault tunnel with COMSOL Multiphysics software. Besides, the Darcy law equation, Brinkman equation, and Navier-Stokes equation are inserted to stimulate the steady flow of aquifer, the non-linear seepage of fault and the free flow in tunnel excavating area in software, respectively. Then, the pres?sure and flow velocity in three flow fields are analyzed under different permeability ratios in numerical model. It is shown that the fault permeability is the key factor affecting water inrush, and that the pressure and flow velocity change visibly in adjacent domains between two flow fields.


2019 ◽  
Author(s):  
Alvaro David Torrez Baptista ◽  
Michele Aparecida Salvador ◽  
Gabriela Dias da Silva ◽  
Ernane de Freitas Martins ◽  
James Moraes de Almeida ◽  
...  

2017 ◽  
Vol 114 ◽  
pp. 3150-3156 ◽  
Author(s):  
E.-M. Charalampidou ◽  
S. Garcia ◽  
J. Buckman ◽  
P. Cordoba ◽  
H. Lewis ◽  
...  

2008 ◽  
Vol 21 (22) ◽  
pp. 5870-5886 ◽  
Author(s):  
Kathy Pegion ◽  
Ben P. Kirtman

Abstract This study investigates whether air–sea interactions contribute to differences in the predictability of the boreal winter tropical intraseasonal oscillation (TISO) using the NCEP operational climate model. A series of coupled and uncoupled, “perfect” model predictability experiments are performed for 10 strong model intraseasonal events. The uncoupled experiments are forced by prescribed SST containing different types of variability. These experiments are specifically designed to be directly comparable to actual forecasts. Predictability estimates are calculated using three metrics, including one that does not require the use of time filtering. The estimates are compared between these experiments to determine the impact of coupled air–sea interactions on the predictability of the tropical intraseasonal oscillation and the sensitivity of the potential predictability estimates to the different SST forcings. Results from all three metrics are surprisingly similar. They indicate that predictability estimates are longest for precipitation and outgoing longwave radiation (OLR) when the ensemble mean from the coupled model is used. Most importantly, the experiments that contain intraseasonally varying SST consistently predict the control events better than those that do not for precipitation, OLR, 200-hPa zonal wind, and 850-hPa zonal wind after the first 10 days. The uncoupled model is able to predict the TISO with similar skill to that of the coupled model, provided that an SST forecast that includes these intraseasonal variations is used to force the model. This indicates that the intraseasonally varying SSTs are a key factor for increased predictability and presumably better prediction of the TISO.


2014 ◽  
Vol 1004-1005 ◽  
pp. 639-647 ◽  
Author(s):  
Jian Ye Mou ◽  
Ke Xiang Zheng ◽  
Hua Jian Chen ◽  
Han Zhang

In acid fracturing, the fast acid-rock reaction limits live acid penetration distance. Many kinds of acids were developed to reduce the acid-rock reaction rate. Acid effective consumption time in the fracure is a key factor for accurate prediction of live acid penetraiton distance in acid fracturing designs. In this paper, we developed a new method for measuring acid effective consumption time in the fracture and did experimental result matching to obtain effective acid diffusion coefficient with a acid flow-reaction model. Firstly, we designed a apparatus and corresponding experimental procedure. Then used the new method to measure the effective consumption time for gel acid and crosslinked acid. The new method uses reservoir core samples and is convenient to heat all the fluid as well as pipe lines to the reservoir tempeature, which reflects in-situ conditions more reliably. In the experiment, the rock mass loss with time was measured, based on which the acid consumption time is predicted. Under the experiment conditoins, the gel acid has a effecive consumption time about 17-minute, and the crosslinked acid has about 22-minutes at 130°. Finally, a model of acid flow-reaction in a fracture was used to match experimental results to obtained the acid diffution coeffecient. The results from this study help improve accuracy in acid fracturing designs.


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