Utilizing deterministic smart tools to predict recovery factor performance of smart water injection in carbonate reservoirs.

Smart water injection (SWI) is a practical enhanced oil recovery (EOR) technique that improves displacement efficiency on micro and macro scales by different physiochemical mechanisms. However, the development of a reliable smart tool to predict oil recovery factors is necessary to reduce the challenges related to experimental procedures. These challenges include the cost and complexity of experimental equipment and time-consuming experimental methods for obtaining the recovery factor (RF).

Experimental investigation of deformable additives as loss circulation control agent during drilling and well construction.

Lost circulation is known as one of the most important challenges during drilling. In addition to high costs due to mud loss and nonproductive time, lost circulation may lead to several consequences, including stuck pipes, wellbore collapse, poor hole cleaning, and well control issues. Different materials and techniques have been tested in the literature and recommended to prevent and control drilling fluid loss.

Anchoring and Catalytic Performance of Co@CN Monolayer for Rechargeable Li-SeS Batteries: A First-Principles Calculations.

SeS composite cathode materials, which offer superior theoretical capacity compared to pure selenium and improved electrochemical properties relative to pure sulfur, have aroused considerable interest in recent decades on account of their applications in electric vehicles and energy storage grids. In the current work, the feasibility of a Co@CN monolayer as a promising host candidate for the cathode material of Li-SeS batteries has been evaluated using first-principles calculations, and particular efforts have been devoted to underscoring the anchoring mechanism and catalytic performance of the Co@CN monolayer. The pronounced synergistic effects of Co-S and Li-N bonds lead to increased anchoring performance for LiSeS/SeS clusters on the surface of Co@CN monolayer, which effectively inhibit the shuttle effect.

Hole-Transporting Materials Based on a Fluorene Unit for Efficient Optoelectronic Devices.

Solution-processable hole-transporting materials (HTMs) that form highly soluble films and thermally stable amorphous states are essential for advancing optoelectronic devices. However, the currently commercialized HTM, N,N-bis(3-methylphenyl)-N,N0-bis(phenyl)benzidine (TPD), exhibits poor solubility and limited carrier transport when spin-coated into thin films. Herein, to address these issues, a fluorenyl group was ingeniously incorporated into a series of molecules structurally similar to TPD.

Chiral Differentiation of Chiral Lactides and Chiral Diketones on Native and Phenylcarbamoylated Cyclodextrin Chiral Stationary Phases.

Inclusion complexation, hydrogen bonds, π-π interaction, dipole-dipole interaction, and steric hindrance effect all contribute to the enantioseparation ability of cyclodextrin (CD) or CD derivatives. In this work, one native cationic CD chiral stationary phases (SHCDCSP) and four derivatized CD-CSPs, namely, per(4-trifluoromethyl) phenylcarbamoylated-β-CD CSP (SFPhCDCSP), per(4-chloro) phenylcarbamoylated-β-CD CSP (SCPhCDCSP), per(4-bromo) phenylcarbamoylated-β-CD CSP (SBPhCDCSP), and per(4-methyl) phenylcarbamoylated-β-CD CSP (SMPhCDCSP), were prepared via thioether linkage and applied for the enantioseparation of chiral lactides and chiral diketones in both reverse phase (RP) and normal phase (NP) modes. Most of the studied chiral lactides were found to be well resolved (R > 1.

Accurate modeling of crude oil and brine interfacial tension via robust machine learning approaches.

Interfacial tension (IFT) between water and crude oil is a crucial variable that enhanced oil recovery (EOR) techniques can adjust to increase oil extraction from depleted fields. Most of the developed intelligent models in the literature are based on synthetic oil samples rather than real crude oil samples or brine total salinity rather than salinity of each salt type. Hence, this study applies various machine learning approaches, such as Convolutional Neural Networks (CNN), Adaptive Boosting (AdaBoost), Decision Trees (DT), Random Forest (RF), K-Nearest Neighbors (KNN), Ensemble Learning, Support Vector Machines (SVM), and Multi-Layer Perceptron Artificial Neural Networks (MLP-ANN) to develop advanced models for predicting the IFT between brine and crude oil considering real crude oil samples and taking the account of each salt type prevalent within the brine phase, which represent the realistic circumstances encountered in the oil reservoirs.

The relationship between Freshman students' mental health and academic achievement: chain mediating effect of learning adaptation and academic self-efficacy.

The relationship between the mental health and academic achievement of college students is not only related to their individual growth and development but also has a profound impact on the quality of higher education and the cultivation of social talent. Understanding the interaction and influencing mechanisms between mental health and academic achievement can help individuals adjust learning and psychological states and achieve a virtuous cycle between mental health and academic achievement. A survey was conducted on 3871 freshmen using the Symptom Check-List-90 (SCL-90), Academic Self-efficacy Scale (ASES), China College Student Adjustment Scale (CCSAS), and basic quality assessment scores.

Using data-driven models to simulate the performance of surfactants in reducing heavy oil viscosity.

There is a substantial body of literature exploring the challenges associated with exploring and exploiting these underground resources. Unconventional resources, particularly heavy oil reservoirs, are critical for meeting ever-increasing global energy demand. By injecting surfactants into heavy oil, chemically enhanced oil recovery (EOR) may enable emulsification, which may reduce the viscosity of heavy oil and facilitate extraction and transportation.

Study on the Influence of Host-Guest Structure and Polymer Introduction on the Afterglow Properties of Doped Crystals.

Due to their low cost, good biocompatibility, and ease of structural modification, organic long-persistent luminescence (LPL) materials have garnered significant attention in organic light-emitting diodes, biological imaging, information encryption, and chemical sensing. Efficient charge separation and carrier migration by the host-guest structure or using polymers and crystal to build rigid environments are effective ways of preparing high-performance materials with long-lasting afterglow. In this study, four types of crystalline materials (MODPA: DDF-O, MODPA: DDF-CHO, MODPA: DDF-Br, and MODPA: DDF-TRC) were prepared by a convenient host-guest doping method at room temperature under ambient conditions, i.

Vertical distribution and migration of heavy metals in soil of green stormwater infrastructure receiving roof runoff.

In order to achieve effective management of urban stormwater runoff, green stormwater infrastructure (GSI) has been widely used worldwide. However, the problem of heavy metal contamination in GSI soils has gradually become a limiting factor for their development. In this paper, concentrations of 6 heavy metals were detected in soils from 0 to 80 cm depth in the GSI receiving roof runoff.

Insulating Material with Scale Components for High-Temperature and High-Pressure Water Applications.

Accurately measuring water holdup in horizontal wells is crucial for effectively using heavy oil reservoirs. The capacitance method is among the most widely used and accurate techniques. However, the absence of suitable insulating materials at high temperatures and pressures limits the effectiveness of capacitive water holdup measurement in heavy oil thermal recovery.

Development of a new hydraulic electric index for rock typing in carbonate reservoirs.

Rock typing techniques have relied on either electrical or hydraulic properties. The study introduces a novel approach for reservoir rock typing, the hydraulic-electric index (HEI), which combines the strengths of traditional electrical and hydraulic rock typing methods to characterize carbonate reservoirs more accurately. By normalizing the ratio of permeability and formation resistivity factor (K/FRF) with respect to porosity, the HEI method is applied to two datasets of carbonate core samples: dataset 1 consists of 112 carbonate core samples from the Tensleep formation in the Bighorn basin of Wyoming and Montana, and dataset 2 includes 81 carbonate core samples from the Asmari formation in the south-west of Iran.

Preparation of Quaternary Ammonium Separation Material based on Coupling Agent Chloromethyl Trimethoxysilane (KH-150) and Its Adsorption and Separation Properties in Studies of Th(IV).

In this research, the authors studied the synthesis of a silicon-based quaternary ammonium material based on the coupling agent chloromethyl trimethoxysilane (KH-150) as well as its adsorption and separation properties for Th(IV). Using FTIR and NMR methods, the silicon-based materials before and after grafting were characterized to determine the spatial structure of functional groups in the silicon-based quaternary ammonium material SG-CTSQ. Based on this, the functional group grafting amount (0.

Numerical study on the stimulation effect of boundary sealing and hot water injection in marine challenging gas hydrate extraction.

This study proposed a novel development mode combining boundary sealing and hot water injection to address the challenges of gas leakage, limited reservoir sensible heat, boundary water intrusion, and low productivity faced by challenging hydrate extraction, and the stimulation effect was numerically investigated with Shenhu hydrates as the geological background. The results showed that lower boundary permeability facilitated pressure propagation and achieved volumetric dissociation of hydrates, whereas insufficient formation energy resulted in substantial gas retention. Hot water injection was effective for stimulation, but open boundaries could not maintain the high injection pressure, leading to massive hot water losses and gas escapes.

Dynamic Mechanical Properties and Modified Material Constitutive Model for Hot Forged TiAlNb over Wide Ranges of Temperature and Strain Rate.

In this paper, the stress-strain curves of TiAlNb are established based on uniaxial impact tests over wide ranges of temperature and strain rate. The TiAlNb exhibited the work hardening effect but did not show an obvious yield stage during a quasi-static compression test. In the SHPB test, an obvious temperature softening effect was found, the strain rate strengthening effect was detected when the strain rate was 4000-8000 s, and the strain rate softening effect was detected in the range of 8000-12,000 s.

Study of hydraulic cutting as a method to prevent coal burst disasters.

This study explores the causes of coal bursts in the Xinzhou Kiln Mine, identifying key factors such as residual pillars, hard coal seams and/or roofs, stress concentration due to complex geological structures, and the stress distribution characteristics of the primary rock. A significant finding is that hydraulic cutting not only diminishes and redistributes the stress concentration region inside the coal seam but also mitigates the burst potential of the coal-rock mass, fundamentally reducing the likelihood of coal bursts. By taking Face No.

Permeability modelling in a highly heterogeneous tight carbonate reservoir using comparative evaluating learning-based and fitting-based approaches.

Permeability modelling is considered a complex task in reservoir characterization and a key component of reservoir simulation. A common method for permeability modelling involves performing static rock typing (SRT) using routine core analysis data and developing simple fitting-based mathematical relations that link permeability to reservoir rock porosity. In the case of carbonate reservoirs, which are associated with high heterogeneities, fitting-based approaches may fail due to porosity-permeability data scattering.

Photocatalytic decomposition of metronidazole by zinc hexaferrite coated with bismuth oxyiodide magnetic nanocomposite: Advanced modelling and optimization with artificial neural network.

The objective of the present study was to employ a green synthesis method to produce a sustainable ZnFeO/BiOI nanocomposite and evaluate its efficacy in the photocatalytic degradation of metronidazole (MNZ) from aqueous media. An artificial neural network (ANN) model was developed to predict the performance of the photocatalytic degradation process using experimental data. More importantly, sensitivity analysis was conducted to explore the relationship between MNZ degradation and various experimental parameters.

Predictions of Aeroengines' Infrared Radiation Characteristics Based on HKELM Optimized by the Improved Dung Beetle Optimizer.

To solve the problems of high computational cost and the long time required by the simulation and calculation of aeroengines' exhaust systems, a method of predicting the characteristics of infrared radiation based on the hybrid kernel extreme learning machine (HKELM) optimized by the improved dung beetle optimizer (IDBO) was proposed. Firstly, the Levy flight strategy and variable spiral strategy were introduced to improve the optimization performance of the dung beetle optimizer (DBO) algorithm. Secondly, the superiority of IDBO algorithm was verified by using 23 benchmark functions.

Experimental investigation of the sequence injection effect of sea water and smart water into an offshore carbonate reservoir for enhanced oil recovery.

This study explores enhanced oil recovery (EOR) strategies, with a focus on carbonate reservoirs constituting over 60% of global oil discoveries. While "smart water" injection proves effective in EOR for carbonate reservoirs, offshore application challenges arise due to impractical volumes for injection. To address this, we propose a novel continuous injection approach, systematically investigating it on a laboratory scale using the Iranian offshore reservoir, Sivand.

Evaluation of a water-based spacer fluid with additives for mud removal in well cementing operations.

This research evaluates the crucial role of effective well cementing in enhancing petroleum production, with a specific emphasis on the utilization of spacer fluids for pre-cementing well cleaning. Investigating the performance of a water-based spacer fluid enriched with barite, Xanthan Gum, potato starch, and Poly-Anionic Cellulose additives, this study systematically designs and evaluates three distinct spacer fluids featuring varied additive concentrations for optimal mud removal efficiency. Notably, Spacer B1, incorporating 0.

Introduction of a novel mathematical model for the prediction of the preformed particle gel's swelling in the presence of monovalent and divalent ions.

Excess water production is one of the challenges that can cause several operational and economic problems. In this work, a comprehensive study of the PPG swelling in the presence of monovalent and divalent ions was conducted. Then, a comprehensive and practical mathematical modified fractal grow (MFG) model that can calculate the amount of PPG swelling in different salinities overtime was introduced.

Reviving the Potential of Vermiculite-Based Adsorbents: Exceptional Ibuprofen Removal on Novel Amide-Containing Gemini Surfactants.

In this study, we introduce a novel series of gemini surfactants with amide groups (HDAB, HDAHD, and HDAPX) and use these surfactants to decorate sodium vermiculite (Na-Vt) for the adsorption of Ibuprofen (IBP) from wastewater. Exceptional IBP uptake on organo-vermiculites (organo-Vts) is obtained, with maximum adsorption capacities reaching 249.87, 342.

Transport and retention of silica nanoparticles in glass-bead columns: effects of particle size, type, and concentration of ionic species.

Silica nanoparticles (SiO NPs) have garnered substantial attention as versatile additives in saline fluids, finding application in areas like environmental remediation, wastewater treatment, enhanced oil recovery, and carbon geo-sequestration. Despite their potential, the intricate interaction between electrolyzed nanoparticles and porous media remains inadequately researched in these contexts. This study delves into the pivotal yet underexplored aspect of silica nanoparticle absorption behavior within porous media, a key determinant of their practical effectiveness.