BR 
EN In immiscible displacements, lower viscosity injected fluids with higher mobility than crude oil can create viscous fingers, affecting displacement efficiency. The Buckley–Leverett approach for relative permeabilities (kr) may not represent accurately 2D features like increased water saturation in viscous fingering. Based on the physics issue, this work applies Sorbie’s 4-Steps methodology to a 3D simulation of an offshore heavy oil reservoir focusing on waterflooding and tertiary polymer flooding, assessing their impact on oil production forecasts. It also explores the application of this methodology to coarse grid simulation models, employing pseudo kr functions by data assimilation. During tertiary polymer injection, two processes were identified in oil displacement: viscous crossflow mechanism and oil bank mobilization by a second finger. This combination resulted in earlier and increased oil production. For both strategies, refining the grid increased simulation runtime from minutes to days compared to coarse grids, making it impractical for intensive processes. From data assimilation, the best solution with matched field indicators reduced runtime from days to minutes. This study expanded the 4-Steps methodology for 3D reservoir simulation, proposing kr as uncertainties. Data assimilation enhances the methodology, generating pseudo kr for coarser grid simulations, reducing computational costs, and capturing small-scale phenomena.
Autor: João Lucas Braga Da Silva
Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs
In Brazil, pre-salt carbonate reservoirs are largely responsible for the current increase in oil production. However, due to its peculiar characteristics, increasing oil recovery by water injection is not enough. Therefore, we seek to evaluate the recovery potential using chemical methods (cEOR). Among these, the Alkali Surfactant Foam (ASF) method appears with high potential, a variant of Alkali Surfactant Polymers (ASP) without the problems presented by it. Therefore, this work presents an innovative methodology, which seeks to evaluate the potential for recovery with ASF in carbonate reservoirs by integrating experimental characterization and recovery prediction using reservoir simulation. For this, phase behavior and adsorption analyses were carried out. The experimental results provided key parameters for the simulation, such as optimal salinity, surfactant adsorption, foam mobility reduction factors. The results are from two case studies of AS and ASF flooding, using a section of UNISIM-II benchmark, using a one-quarter of five-spot model. Having the modelling for these cEOR methods defined, an optimization process for each method was applied, allowing a reliable comparison among the methods and over a base case of water injection, seeking the maximization of the net present value (NPV). As a result, in the experimental part, a low interfacial tension (IFT) value of 0.003 mN/m was achieved with a surfactant adsorption reduction of 17.9% for an optimal setting among brine (NaCl), alkali (NaBO2.4H2O), and surfactant (BIO-TERGE AS 40). In the reservoir simulation part, using a fast genetic algorithm in the optimization process, a NPV of US$ 14.43 million higher than the base case (water injection) and a 4.5% increase in cumulative oil production for the ASF injection case were obtained. Considering the analyses of production curves (cumulative oil production and oil rate) and oil saturation maps, a considerable oil production anticipation was observed, which was the main reason for NPV improvement, proving the high potential for application of the ASF method in carbonate reservoirs.
Model-Based Petroleum Field Management in Three Stages: Life-Cycle, Short-Term, and Real-Time
The objective of this work is to present a new practical methodology to manage petroleum fields considering three stages (life-cycle, short-term, and real-time) that can run alongside different model fidelities and characteristics. The model-based field management process follows the general methodology proposed by Schiozer et al. (2019) with four activities: (1) fit-for-purpose models construction, (2) data assimilation for uncertainty reduction, (3) life-cycle production optimization and (4) short-term optimization for real-time implementation. The selection of the production strategy for field management comprehends the last two activities. Life-cycle optimization is the first stage of the process and generates control setpoints for short-term analysis. Short-term optimization is then used to improve the quality of the solutions considering the control parameters of the next cycle (considering a closed-loop procedure). Real-time solution is then implemented considering operational disturbances from real operations. The methodology was applied to a benchmark case (UNISIM-IV-2026) which is a case based on a typical carbonate field from the Brazilian Pre-salt, with light oil and submitted to Water-Alternate-Gas injection with CO2 (WAG-CO2). The results show that the methodology is applicable to real and complex fields. As the three stages can run simultaneously, one can (1) use different model fidelities to improve the quality of the solutions and (2) use model-based solutions for real-time implementation. Life-cycle optimization using complex simulation models and long-term objectives can run in the background to generate control setpoints for short-term analysis in which lower fidelity models and simplified solutions can be used for the control and field revitalization parameters of each closed-loop cycle. Real-time solutions can be implemented considering operational problems and disturbances. This work presents a novel procedure to integrate three stages for production optimization that can run in parallel, allowing the integration of life-cycle and real-time solutions. The methodology (1) allows the use of complex reservoir simulation models from the life-cycle production strategy optimization, (2) focuses short-term control parameters that improve the quality of the short-term solution, and (3) guides real-time implementation, so it can be the basis to a digital field management.
Numerical Study on the Impact of Advanced Phenomena in a Fractured Carbonate Reservoir Subjected to WAG-CO2 Injection
Advanced phenomena related to water-alternating-gas (WAG) injection are usually neglected in numerical simulations. This work evaluates the impact of different physical phenomena on field indicators, considering a typical pre-salt carbonate reservoir (UNISIM-II-D-CO, a dual-por dual-perm compositional case) subjected to WAG-CO2 injection. Additionally, the computational cost incurred by each of these phenomena is evaluated, since it represents a great challenge in optimization and probabilistic studies. The following phenomena are evaluated considering a nominal base case: (i) matrix-fracture transfer calculation, (ii) relative permeability hysteresis, (iii) CO2 and CH4 solubilities in aqueous phase, (iv) diffusion, (v) numerical dispersion control models, and (vi) velocity-dependent dispersion. CO2 and CH4 solubilities in the aqueous phase, as well as molecular diffusion, did not have a significant impact on field indicators, but they increased simulation runtime more than two times. Matrix-fracture transfer modeling was the most impactful factor, followed by hysteresis and velocity-dependent dispersion. Therefore, the impact of these phenomena was also investigated in a probabilistic approach, considering an ensemble of 197 geostatistical scenarios under uncertainty. Risk curves revealed that the advanced matrix-fracture transfer models improve sweep efficiency. This effect is mainly due to gravity force which acts as a driving mechanism for the oil moving from the matrix to fractures. The capillary effect, in turn, was small compared to gravity. The impact of dispersion and hysteresis on risk curves were smaller than the effect of matrix-fracture transfer modelling. However, these phenomena are particularly interesting in UNISIM-II-D-CO due to the presence of Super-K facies. Hysteresis, when applied to low and high permeability layers, reduced gas mobility and, consequently, the gas produced, contributing to the NPV for most models under uncertainty. On the other hand, the velocity-dependent dispersion mainly affected fluid flows in the regions adjacent to Super-K layers, promoting better oil recovery. The inclusion of advanced phenomena related to WAG-CO2 injection can hold importance when modeling fractured carbonate fields, like those found in the Pre-Salt in Brazil. Nevertheless, computational costs might make their inclusion impractical in full-field simulation models employed for optimization and probabilistic studies. In such cases, it is recommended to assess low-fidelity models or alternatives to accelerate simulations, focusing mainly on the most impactful phenomena related to WAG-CO2 injection.
MODEL-BASED ANALYSIS TO EVALUATE THE EFFECT OF POLYMER PROPERTIES AND PHYSICAL PHENOMENA ON POLYMER FLOODING OPERATIONS
Polymer flooding, known for enhancing heavy oil displacement, may encounter efficiency-limiting physical phenomena. This work assesses the impact of key factors like viscosity, shear rate, and adsorption in field applications using a model-based approach on the EPIC001 case, a real offshore Brazilian heavy oil reservoir. In simulation results, increasing the displacing fluid viscosity using apparent or zero-shear functions, oil production and economic returns show improvements over waterflooding. The shear rate effect slightly increases oil production and enhances injectivity loss due to shear-thinning in polymer flow. However, modeling it increases computation costs, as it extends simulation run time from minutes to days, making it impractical for intensive processes like production optimization. An analysis of the method’s effectiveness shows that it varies based on the adsorption level considered. At its highest value, even with a higher oil recovery factor, the economic return was lower than using waterflooding. Combining shear rate and adsorption has a minimal impact on field indicators when compared to adsorption alone. This work enhances the comprehension of physical phenomena and non-Newtonian behavior in tertiary polymer flooding on heavy oil reservoirs and its impact on the production forecast. It also highlights important considerations for modeling-based procedures.
Investigation on the effects of concentration and paraffin type on the rheological behavior of model oils
The intrinsic characteristics of crude oils, combined with the pressure and low temperature of the seabed, can lead to flow assurance problems, compromising production. The low temperature causes a decrease in the wax solubility, eventually reaching the wax appearance temperature (WAT). Precipitated crystals can cause deposition on the tube walls and can affect production as they increase the pressure drop, decreasing flow during production. Depending on molecular weight, molecular structure and carbon number distribution, waxes can be called macrocrystalline and microcrystalline. Macrocrystalline wax mainly has a carbon number distribution of approximately C20 to C40 and has a linear molecular structure, so hydrocarbons tend to form large plates. Microcrystalline wax generally has chains with carbon numbers between C30 to C70 and its crystals tend to form smaller crystals. In the present work, the impact on gel strength was evaluated as a function of wax type (macrostructure and microstructure), wax concentration and applied shear rate. Understanding these impacts makes it possible to improve the models of wax deposition and, consequently,
the methods of preventing and mitigating the phenomenon.
Influence of the interface chemical composition and its impact on droplet coalescence of water-oil emulsions
This work aims to understand the phenomenon of coalescence as a function of chemical and rheological characteristics (elasticity and viscosity) of the interfacial film. In this context, the goal is to study the effect of the different physicochemical variables related to emulsion and its influence on the energy barrier that separates the droplets from the isolated state to coalescence. For this, a pendant drop tensiometer was used to determine the coalescence time between the oil droplet and the oil-water interface, using commercial surfactants to establish a correlation of how the physicochemical characteristics of the interfacial film will influence the coalescence time between the he oil droplet and the oil-water interface .The preliminary results show that the brine concentration and the ion types present in brine impact directly on the coalescence time, due to changes on interfacial film properties, promoting a barrier to coalescence, and modification on mechanism of interactions of these systems.
Development of a transparent pump prototype for flow visualization purposes
The presence of emulsions in centrifugal pumps has always been a top issue for oil and gas exploration companies. These oil-water mixtures cause financial losses along the production chain, as they often induce pumps to operate in an unstable and inefficient manner. As there is a clear dependence between the pump performance and the flow arrangement in the impellers, this current paper aims to broaden the understanding on the behavior of emulsions inside the stage of a centrifugal pump. Thus, the paper describes the design and fabrication of a new transparent pump prototype for visualization purposes focused on academic studies. The new prototype is completely transparent, so it enables visual access and light entrance from the front and sides. Besides, the new pump is able to operate with twophase flows, since the dispersed phase can be injected directly into the impeller channels, through the shaft. Some tests were then conducted with this new prototype. They provided successful results which are presented and discussed here. Therefore, the new transparent prototype is an innovative alternative to help engineers and researchers investigate twophase flows in rotating and stationary pump parts.
Thermal and morphological evaluation of wax crystals: effect of solvent and wax concentration
Petroleum is a complex mixture of hydrocarbons varying from saturate, resins, asphaltenes and aromatics. Wax, also known as paraffin, normally refers to the range of n-alkanes in the crude oil with carbon numbers higher than 18. The waxes present in crude oils are divided into two categories: macrocrystalline wax, tends to form large plate-like crystals and, microcrystalline, tends to form solids with a lower degree of crystallinity. It has not been possible to establish a pattern that links the tendency of type of solvent and type of paraffin, due to the complexity of the wax crystal morphology. The objective of this research is to study the thermal properties of macro and microcrystalline paraffin under solubilization of several solvents through experimental techniques of DSC (Differential Scanning Calorimetry) and CPM (Cross Polarized Microscopy). The interaction of each type of n-paraffin in different solvents causes distinct influences on the crystal morphology and, consequently, influences on their thermal behavior. This study is relevant since elucidating this behavior helps to optimize deposition models and thus, define more effective mitigation resources in the problem of wax deposition.