A comprehensive techno-economic assessment of alkali–surfactant–polymer flooding processes using data-driven approaches

Sun, Qing; Ertekin, Turgay; Zhang, Miao; On, Thinh

doi:10.1016/j.egyr.2021.05.003

Cited by 10 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…16 The relative permeability curve for the Amott cell is established based on the research conducted by Sun et al (Figure 6). 28 Other parameters required for the simulation are summarized in Table 3. It should be noted that the values of porosity, permeability, and So of cores in Table 3 represent the parameters of experimental cores.…”

Section: Core-scale Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of Surfactant Huff-n-Puff Injection for Enhanced Oil Recovery in Unconventional Reservoirs: An Integrated Experimental and Numerical Simulation Approach Coupled with the HLD-NAC Methodology

Lu,

Zhang,

Hua

et al. 2023

Energy Fuels

Self Cite

View full text Add to dashboard Cite

Surfactant huff-n-puff (HnP) injection processes have become one of the most attractive enhanced oil recovery (EOR) protocols to effectively produce unconventional oil reservoirs. In this paper, the mechanism of surfactant-enhanced tight oil recovery is comprehensively investigated by experimental and numerical simulation. Imbibition experiments are employed to elucidate the impact of surfactants on enhancing the tight core recovery. Core-scale numerical simulation models are applied to match experimental data to characterize the effects of surfactants on oil and water flow capabilities. We model the microemulsion phase behavior of an optimized surfactant formulation using hydrophilic−lipophilic difference and the net-average curvature (HLD-NAC) equation, which are used to quantitatively characterize the interfacial tension (IFT) reduction, wettability alteration, and oil solubilization effects. A numerical simulation model is structured to assess the production increments of the surfactant huff-n-puff injection for a multistage fractured horizontal well in the Jimusar J305 block as a case study. An extensive parametric study is conducted employing it as a base case model. Results show that the adsorption capacity of the surfactant on the reservoir rock has a strong impact on the wettability alteration and oil production increment. For the huff-n-puff surfactant injection design considerations, the top three factors impacting oil recovery improvement are the injection volume, concentration, and number of cycles, while injection time, production time/stage, and soaking time show a less significant impact. The recovery rate of the surfactant huff-n-puff EOR ranged from 2.55 to 17.12%. The use of the HLD-NAC equation enables the characterization of microemulsion phase behavior, which makes the simulation results reliable for field practices.

show abstract

Section: Core-scale Modelingmentioning

confidence: 99%

“…In recent years, some scholars have simulated the phase behavior by using the HLD-NAC equation. − The HLD-NAC equation consists of two parts. The first is the HLD equation proposed by Salager et al, which describes the change in the free energy of surfactant molecules as they transfer from the oil phase to the water phase .…”

Section: Introductionmentioning

confidence: 99%

Investigation of Surfactant Huff-n-Puff Injection for Enhanced Oil Recovery in Unconventional Reservoirs: An Integrated Experimental and Numerical Simulation Approach Coupled with the HLD-NAC Methodology

Lu,

Zhang,

Hua

et al. 2023

Energy Fuels

Self Cite

View full text Add to dashboard Cite

show abstract

“…In recent years, machine learning methods have received increasing attention due to their ability to extract information from a large amount of available data and have been widely applied in oil and gas development. Sun et al 9 proposed a machine-learning-assisted multiobjective optimization protocol to design and optimize alkali–surfactant–polymer flooding processes in the presence of multiple technical and economic objective functions. Sun et al 10 proposed a method for screening and optimization of polymer flooding projects using artificial neural network (ANN)-based proxies, which can obtain quick techno-economical assessments of polymer injection projects.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Profile Control and Oil Displacement Scheme Parameters Based on Deep Deterministic Policy Gradient

Tan

Wang

Tian³

et al. 2023

ACS Omega

View full text Add to dashboard Cite

The parameter design of profile control and oil displacement (PCOD) scheme plays an important role in improving waterflooding efficiency and increasing the oil field production and recovery. In this paper, the parameter optimization model and solution method of the PCOD scheme based on deep deterministic policy gradient (DDPG) are constructed with the half-year increased oil production (Q i ) of injection well group as the objective function and the parameter range of PCOD system type, concentration, injection volume, and injection rate as constraints. Using the historical data of PCOD and extreme gradient boosting (XGBoost) method to construct a proxy model of PCOD process as the environment, the change rate of Q i of well groups before and after optimization is taken as the reward function; the system type, concentration, injection volume, and injection rate are taken as the action; and the Gaussian strategy with noise is taken as the action exploration strategy. Taking XX block of offshore oil field as an example, the parameters of the compound slug PCOD process (pre-slug + main slug + protection slug) of the injection well group are analyzed, that is, parameters such as the system type, concentration, injection volume, and injection rate of each slug system are optimized. The research shows that the parameter optimization model of the PCOD scheme established based on DDPG can obtain higher oil production PCOD scheme for well groups with different PCOD, and has strong optimization and generalization ability compared with the particle swarm optimization (PSO) model.

show abstract

“…Tracers are the chemical or other materials that are placed in the borehole fluid to detect and infer drilled fluid pathways, migration mechanism and well-to-well connectivity. It is extensively used in welldrilling operations, water flooding studies, treatment, and various other operations at the exploration and production (E&P) stage to scale how the hydrocarbons migrate through reservoir both qualitatively and quantitatively and are also used as a significant tool for estimating S or and enhanced oil recovery (EOR) analysis for flood optimization (Bjornstad et al 1990;Clayton 1967;Michael Shook et al 2004;Michael Shook et al 2017;Sun et al 2021;Sun and Ertekin 2020). They are applied for diagnostics where quantification of production and communication is the goal and must be foreign to the reservoir environment.…”

Section: Introductionmentioning

confidence: 99%

A review of tracer testing techniques in porous media specially attributed to the oil and gas industry

Patidar

Joshi

Dristant

et al. 2022

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

The significance of the tracer testing technique is widely accepted in reservoir performance analysis in hydrology as well as in hydrocarbon exploration and production. The subsurface reservoir delineation for hydrocarbon exploration and optimum production is one of the most critical aspects of petroleum system analysis. The quality of the reservoir and its performance prediction require extensive knowledge of qualitative reservoir geology, its depositional environment, facies heterogeneity and engineering properties of subsurface formations. Tracer testing is amongst the few techniques available in the oil and gas (O&G) industry, which stands up to these expectations and is successfully used for quantitative determination and analysis of sub-seismic scale structural and stratigraphic heterogeneities. Tracer testing is also being utilized in determining residual oil saturation (Sor) and lateral correlation of reservoir properties in the subsurface. Apart from the O&G industry, the concentration-based applications of tracer testing have been proved in hydrology, geothermal and medical science. A comprehensive review is presented to explain the application of tracer testing technique to investigate porous media, mainly in O&G industry. The type of tracers used, their selection criteria, concentration, and natural versus gradient and qualitative to a quantitative application are discussed in the current review. Generally, two types of tracers (chemical and radioactive) are preferred in the petroleum industry for gas/fluid flow assessment, waterflood optimization and establishing connectivity between multiple wells. The current paper reviews both types of tracer tests, namely single well and inter well, in detail discussing the objectives, calculations, designing, injection, sampling, laboratory analysis and knowledge integration. The preliminary aim was to provide a review of the tracer testing technique used in reservoir evaluation and well-to-well connectivity analysis.

show abstract

A comprehensive techno-economic assessment of alkali–surfactant–polymer flooding processes using data-driven approaches

Cited by 10 publications

References 34 publications

Investigation of Surfactant Huff-n-Puff Injection for Enhanced Oil Recovery in Unconventional Reservoirs: An Integrated Experimental and Numerical Simulation Approach Coupled with the HLD-NAC Methodology

Investigation of Surfactant Huff-n-Puff Injection for Enhanced Oil Recovery in Unconventional Reservoirs: An Integrated Experimental and Numerical Simulation Approach Coupled with the HLD-NAC Methodology

Optimization of Profile Control and Oil Displacement Scheme Parameters Based on Deep Deterministic Policy Gradient

A review of tracer testing techniques in porous media specially attributed to the oil and gas industry

Contact Info

Product

Resources

About