The Effect of Alkaline and Polymer Additives on Phase Behaviour of Surfactant-Oil-Brine System At High Salinity Conditions

Sayyouh, M.H.; Al-Blehed, M.S.; Attia, Attia

doi:10.2516/ogst:1993023

Cited by 13 publications

(10 citation statements)

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“…Figure 11 was obtained as reported earlier; 17 the fractional flow curves of the waterflooding, 2 g/L of GHB solution, and 5 g/L of GH showed that 5 g/L GH is more shifted to the right side, which means high flood front water saturation at breakthrough, high average water saturation at breakthrough, more efficient displacement, and a lesser amount of residual oil ( S or ). 54 , 55 Besides, GH and GHB have a flood front water saturation at breakthrough and an average water saturation at breakthrough higher than waterflooding; hence, GH and GHB have an effect on delaying water breakthrough. Results of displacement efficiency ( E D ), average water saturation at breakthrough, and flood front water saturation at breakthrough are summarized in Table 4 .…”

Section: Resultsmentioning

confidence: 99%

Guar Gum-Based Hydrogels as Potent Green Polymers for Enhanced Oil Recovery in High-Salinity Reservoirs

et al. 2021

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Improving oil production for high-salinity reservoirs using polymer flooding is challenging due to chemical and mechanical degradations. This study developed two biodegradable biopolymers based on graft copolymerization of guar gum (GG) with two different co-monomers, which are acrylamide (Am) and 2-acrylamido-2-methylpropane sulfonic acid (AMPS), and cross-linked by N,N ′-methylene bisacrylamide (MBA) to face these challenges. The newly synthesized guar gum-based hydrogels, GG- g -poly(Am-AMPS) (GH) and GG- g -poly(Am-AMPS)/Biochar (GBH composite), were evaluated as potential candidates for enhanced oil recovery (EOR) under high-salinity conditions. Fourier transform infrared (FTIR) spectroscopy and thermogravimetric analysis (TGA) of the synthesized hydrogels were investigated, and their rheological properties were measured at room temperature. Both GH and GHB display a shear-thinning performance. In polymer flooding experiments, guar gum hydrogel (GH) and guar gum/biochar composite hydrogel (GHB) showed a remarkable influence on delaying the water breakthrough and proved to be effective biopolymers for enhanced oil recovery in high-salinity reservoirs. At the optimum concentration of 5 g/L, GH flooding achieved maximum oil recoveries of 70.53 and 72.11% in secondary and tertiary recovery processes, respectively. Meanwhile, the waterflooding process achieved an ultimate oil recovery of 58.42%. GHB flooding at optimum concentration, 2 g/L, increased the amount of oil recovery by 8.95% in tertiary recovery compared to waterflooding. Furthermore, GH (5 g/L) and GHB (2 g/L) slightly enhanced the rock water wettability as confirmed by contact angle measurements for GH and the relative permeability saturation curves for GH and GHB.

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Section: Resultsmentioning

confidence: 99%

Guar Gum-Based Hydrogels as Potent Green Polymers for Enhanced Oil Recovery in High-Salinity Reservoirs

et al. 2021

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“…Since changing wettability from oil wet to water wet improves the recovery factor during water flooding (Ahmadi and Shadizadeh, 2018) so the XG-g-silica and XG/SiO 2 can be considered as a good EOR alternative. Moreover, the fractional flow curves of the three displacing fluids at a concentration of 2.0 g/L as shown in Figure 7b, indicate that XG-g-silica solution is more shifted to the right side which means high average water saturation, more efficient displacement, and a lesser amount of residual oil (S or ) (Attia, 2005;Sayyouh et al, 1993). Results of displacement efficiency (E D ) and average water saturation are calculated according to equation ( 4) and summarized in Table 4:…”

Section: Relative Permeability Curves and Rock Wettabilitymentioning

confidence: 99%

Assessment of xanthan gum and xanthan-g-silica derivatives as chemical flooding agents and rock wettability modifiers

Soliman

El-hoshoudy

Attia

2020

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Currently, biomolecules flooding in the underground reservoirs acquires sustainable interest owing to their availability and eco-friendly properties. The current study reported chemical displacement by xanthan gum as well as xanthan/SiO2 and xanthan grafted with vinylsilane derivatives. Chemical characterization evaluated by traditional spectroscopic methods. Investigation of fluids response to reservoir environment assessed through rheological performance relative to shearing rate, ionic strength, and thermal stability. A sequence of flooding runs generated on 10 sandstone outcrops with different porosity and permeabilities. Core wetness assessed through relative permeability curves at different water saturation. The flooding tests indicate that grafting of the silica derivative overcome the shortage of xanthan solution in flooding operations relative to the reservoir conditions. The ability of the flooding solutions to alter rock wettability explored through relative permeability curves at different water saturation. The results reveal that the synthesized composite was a promised agent for enhancing oil recovery and profile conformance.

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“…There are two kinds of viscosity: plastic viscosity and apparent viscosity . Estimating rheological properties plays a vital role in determining whether the fluid will withstand the operating conditions or not. − …”

Section: Mud Rheological Propertiesmentioning

confidence: 99%

Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network

et al. 2021

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Successful drilling operations require optimum well planning to overcome the challenges associated with geological and environmental constraints. One of the main well design programs is the mud program, which plays a crucial role in each drilling operation. Researchers focus on modeling the rheological properties of the drilling fluid seeking for accurate and real-time predictions that confirm its crucial potential as a research point. However, only substantial studies have real impact on the literature. Several AI-based models have been proposed for estimating mud rheological properties. However, most of them suffer from nonbeing field applicable attractive due to using non-readily field parameters as input variables. Some other studies have not provided a comprehensive description of the model to replicate or reproduce results using other datasets. In this study, two novel robust artificial neural network (ANN) models for estimating invert emulsion mud plastic viscosity and yield point have been developed using actual field data based on 407 datasets. These datasets include mud plastic viscosity (PV), yield point (YP), mud temperature (T), marsh funnel viscosity (MF), and solid content. The mathematical base of each model has been provided to provide a clear means for models' replicability. Results of the evaluation criteria depicted the outstanding performance and consistency of the proposed models over extant ANN models and empirical correlations. Statistical evaluation revealed that the plastic viscosity ANN model has a coefficient of determination (R 2 ) of 98.82%, a root-mean-square error (RMSE) of 1.37, an average relative error (ARE) of 0.12, and an absolute average relative error of 2.69, while for yield point, this model has a coefficient of determination (R 2 ) of 94%, a root-mean-square error (RMSE) of 0.76, an average relative error (ARE) of −0.67, and an absolute average relative error of 3.18.

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The Effect of Alkaline and Polymer Additives on Phase Behaviour of Surfactant-Oil-Brine System At High Salinity Conditions

Cited by 13 publications

References 0 publications

Guar Gum-Based Hydrogels as Potent Green Polymers for Enhanced Oil Recovery in High-Salinity Reservoirs

Guar Gum-Based Hydrogels as Potent Green Polymers for Enhanced Oil Recovery in High-Salinity Reservoirs

Assessment of xanthan gum and xanthan-g-silica derivatives as chemical flooding agents and rock wettability modifiers

Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network

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