Experimental Study on the Application of Polymer Agents in Offshore Oil Fields: Optimization Design for Enhanced Oil Recovery.

The Bohai oilfield is characterized by severe heterogeneity and high average permeability, leading to a low water flooding recovery efficiency. Polymer flooding only works for a certain heterogeneous reservoir. Therefore, supplementary technologies for further enlarging the swept volume are still necessary.

[Recent progress in magnetic covalent organic framework materials for the enrichment and detection of typical organic pollutants].

Trace contaminants are toxic and their widespread presence in the environment potentially threatens human health. The levels of these pollutants are often difficult to determine directly using instruments owing to the complexities of environment matrices. Hence, pretreatment steps, such as sample purification and concentration, are key along with various processes that enhance the accuracy and sensitivity of the detection method.

Application of synthesized FeO@Gelatin nanoparticles on interfacial properties and enhanced oil recovery.

Due to the unique properties of nanoparticles (NPs), their application has been proposed as an innovative and promising enhanced oil recovery (EOR) technique. They enhance oil recovery by improving EOR mechanisms including decreasing interfacial tension (IFT), wettability alteration to water-wet, and preventing asphaltene precipitation. In this study, FeO@Gelatin NPs were synthesized by a convenient and single-step method and then investigated for EOR purposes for the first time.

mHealth-based exercise vs. traditional exercise on pain, functional disability, and quality of life in patients with knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials.

Objective: This study aims to compare the efficacy of mHealth-based exercise interventions with traditional exercise in improving pain intensity, functional disability, and quality of life in patients suffering from knee osteoarthritis (OA).

Method: Randomized controlled trials (RCTs) published from their inception to 23 August 2024 were searched in Cochrane, Embase, Medline, Web of Science. Reviewer pairs independently extracted data and evaluated bias using the Cochrane Risk of Bias tool.

Coupled 4D Flow-Geomechanics Simulation to Characterize Dynamic Fracture Propagation in Tight Sandstone Reservoirs.

Although China's low-permeability and tight oil reservoir utilization and newly proven reserves are growing annually, the overall recovery of such reservoirs is generally low. One of the main factors influencing the low recovery is the effect of intricate dynamic fracture propagations on the remaining oil distribution. Constrained by the evolution of an in situ stress field and the accumulation of fluid injection volumes, the growth of dynamic fractures allows a production profile of water breakthrough.

Modular addition strategy-regulated polymerization-induced self-assembly: an experiment.

We propose a modular addition strategy-regulated polymerization-induced self-assembly (PISA) system to effectively control the reaction kinetics and self-assembly morphologies. We validated this strategy by performing experiments on a well-established PISA system. Two categories of modular addition strategies, , the multistep addition strategy and the constant rate addition strategy, were investigated.

High-precise determination of the drought and cold resistance of forage seeds using terahertz time-domain spectroscopy.

Owing to the complicated geographical locations and climates, cultivation and selection of forage seeds are challenging. For the first time, we qualitatively distinguished the drought and cold resistance of forage seeds with the time domain and refractive index spectra using terahertz (THz) time-domain spectroscopy. A multilayer structure propagation (MSP) model was developed based on the effective medium and light transport theory to reveal the underlying biological mechanisms of drought and cold resistance of forage seeds.

Molecular Insights into the Control Mechanism of the Solid-Liquid Interface Interaction on Shale Oil Occurrence: Grand Canonical Monte Carlo and Molecular Dynamics Simulations Investigation.

The strong solid-liquid interaction leads to the complicated occurrence characteristics of shale oil. However, the solid-liquid interface interaction and its controls of the occurrence state of shale oil are poorly understood on the molecular scale. In this work, the adsorption behavior and occurrence state of shale oil in pores of organic/inorganic matter under reservoir conditions were investigated by using grand canonical Monte Carlo (GCMC) and molecular dynamics (MD) simulations.

Adjusting the ratio of oxidation states in a CuO@Cu2O for the optimization of electrocatalytic CO2 conversion to ethylene.

Understanding the impact of surface copper valence states on the distribution of electrochemical carbon dioxide products is critical. Herein, CuO@Cu2O with a Cu2+/Cu+ interface was fabricated using wet chemical etching approach. The hollow shape offered a large region for gas adsorption, while the interfacial mixed chemical state of Cu2+/Cu+ with tunable control ratio raised the local density of CHO* and accelerated the carbon-carbon coupling reaction.

Degradation of 15 halogenated hydrocarbons by 5 unactivated chemical oxidation oxidants.

Oxidants used in the ISCO technology usually require activation by activators to degrade contaminants. However, this study investigated degradation of 15 typical halogenated hydrocarbons by five common ISCO oxidants (PS, PMS, HO, KMnO, SPC) without activation in both pure water and real groundwater. Unactivated PS could degrade 14 halogenated hydrocarbons, excluding tetrachloromethane.

Tailoring Metal-Organic Frameworks for One-Step Separation of Alkane/Alkene/Alkyne Mixtures.

The purification of polymer-grade (>99.9%) olefins (mostly C2 and C3) represents a significant yet challenging process in petrochemical industry. The commonly employed method for hydrocarbon separation involves heat-driven distillations.

Molecular composition of hydroxyl radical-resistant organics in municipal solid waste leachate.

Although hydroxyl radicals (OH) degrade organic pollutants nonselectively, their mineralization rate during the treatment of waste leachate biological treatment effluent (BTL) using Fenton or Fenton-like systems is not high, and the reason is unknown. In this study, we investigated three typical Fenton-like systems that act on dissolved organic matter (DOM) in BTL. We analyzed the molecular composition of DOM resistant to OH, using ultrahigh resolution mass spectrometry.

Experimental Study on the Mechanism of Enhanced Imbibition with Different Types of Surfactants in Low-Permeability Glutenite Reservoirs.

Due to the complex physical properties of low-permeability glutenite reservoirs, the oil recovery rate with conventional development is low. Surfactants are effective additives for enhanced oil recovery (EOR) due to their good ability of wettability alteration and interfacial tension (IFT) reduction, but the reason why imbibition efficiencies vary with different types of surfactants and the mechanism of enhanced imbibition in the glutenite reservoirs is not clear. In this study, the imbibition efficiency and recovery of surfactants including the nonionic, anionic, and cationic surfactants as well as nanofluids were evaluated and compared with produced water (PW) using low-permeability glutenite core samples from the Lower Urho Formation in the Mahu oil field.

Phase regulation of Ni(OH) nanosheets induced by W doping as self-supporting electrodes for boosted water electrolysis.

Developing high-performance and low-cost electrodes for hydrogen and oxygen evolution reactions (HER and OER, respectively) represents a pivotal challenge in the field of water electrolysis. Herein, W doped NiFe LDH nanosheets (NiFe-W/NF) were immobilized on nickel foam (NF) through one-step corrosion engineering, which induced the coexistence of α-Ni(OH) and β-Ni(OH). The doping of large atomic radius W influenced the growth of crystal planes of Ni(OH), promoting the formation of α-Ni(OH), which results in large layer spaces and neatly arranged nanosheets structure.

KGPM: A Knowledge-Guided Predictive Model for Virtual Metering in Gas Wells.

One of the key points in the construction of smart oil and gas fields is the effective utilization of data. Virtual Flow Metering (VFM), as one of the representative research directions for digital transformation, can obtain real-time production from oil and gas wells without the need for additional field instrumentation, utilizing pressure and temperature data obtained from sensors and employing multiphase flow mechanism models. The data-driven VFM demonstrates a commendable capacity in capturing the nonlinear relationship between sensor data and flow rates, while circumventing the necessity for rigorous analysis of the underlying mechanistic processes.

How do multi-faceted environmental policies enhance the production efficiency of enterprises?-Mechanisms discovery based on machine learning algorithms.

Carbon neutrality has gained considerable attention globally, and the impact of environmental policy on businesses has been extensively studied. However, the mechanism through which environmental policy affects production efficiency within the enterprise remains unclear. The objectives of this paper are: 1.

"Cation-Recognition" Effect of 2D Nanochannels in Graphene Oxide Membranes Intercalated with Ionic Liquid for High Desalination Performance.

Water and ion transport in nanochannels is crucial for membrane-based technology in biological systems. 2D materials, especially graphene oxide (GO), the most frequently used as the starting material, are ideal building blocks for developing synthetic membranes. However, the selective exclusion of small ions while maintaining in a pressured filtration process remains a challenge for GO membranes.

Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning.

Identifying and differentiating human activities is crucial for effectively preventing the threats posed by environmental pollution to aquatic ecosystems and human health. Machine learning (ML) is a powerful analytical tool for tracking human impacts on river ecosystems based on high-through datasets. This study employed an ML framework and 16S rRNA sequencing data to reveal microbial dynamics and trace human activities across China.

Experimental study on ultrasonic reduction of irreducible water saturation in low permeability reservoir.

Irreducible water saturation is an important factor affecting the development effect of low permeability reservoir. Using the self-developed ultrasonic generator, kerosene was used as simulated oil, the natural low-permeability siltstone cores with different physical properties in Zhongyuan Oilfield were selected for indoor oil displacement experiment, and the effect of ultrasonic action on the saturation of irreducible water in low-permeability reservoirs was evaluated. It was found that ultrasound can further reduce the saturation of irreducible water on the basis of oil flooding.

Field-Induced Polarization Rotation in Order-Disorder (K,Na)NbO-Based Ferroelectrics.

Phase boundary is highly recognized for its capability in engineering various physical properties of ferroelectrics. Here, field-induced polarization rotation is reported in a high-performance (K, Na)NbO-based ferroelectric system at the rhombohedral-tetragonal phase boundary. First, the lattice structure is examined from both macroscopic and local scales, implementing Rietveld refinement and pair distribution function analysis, respectively.

Switching CO-to-Acetate Electroreduction on Cu Atomic Ensembles.

The electrocatalytic reaction pathway is highly dependent on the intrinsic structure of the catalyst. CO/CO electroreduction has recently emerged as a potential approach for obtaining C products, but it is challenging to achieve high selectivity for a single C product. Herein, we develop a Cu atomic ensemble that satisfies the appropriate site distance and coordination environment required for electrocatalytic CO-to-acetate conversion, which shows outstanding overall performance with an acetate Faradaic efficiency of 70.

Preparation of Hot-Pressed Wheat Straw Board by Self-Adhesive Process: Effects of Raw Material Sizes and Acid/Alkali Pretreatment.

The development of wheat straw boards utilizing intrinsic bonding mechanisms not only facilitates the high-value utilization of agricultural solid waste but also diminishes the reliance on synthetic adhesives. In this study, using wheat straw as the primary substrate, we investigated the effects of mechanical smashing combined with pretreatment using inorganic acids or alkalis on the properties of hot-pressed boards, as well as the relationship between the properties of hot-pressed boards and the physical properties and chemical composition of wheat straw raw materials. These selective pretreatments effectively degraded lignin, hemicellulose, and other components, thereby promoting fiber reorientation and resulting in a denser microstructure with improved self-bonding capabilities.