Major Field Research Articles

How ADNOC Opened the UAE’s Pre-Khuff Offshore Gas Play Using Advanced Fracturing Tech

A hidden gem may lie beneath one of the world’s latest megaprojects. Next year, the Abu Dhabi National Oil Company (ADNOC) is set to launch production from its largest-ever gas development within the UAE’s shallow-water Ghasha concession. Located some 190 km northwest of Abu Dhabi, the first phase will see gas flow from the Dalma field, followed by production from the Hail and Ghasha fields, with combined output expected to boost the UAE domestic gas supply by 1.5 Bcf/D by decade’s end. Set aside for several decades due to high levels of H2S and CO2, ADNOC is now pushing to make natural gas a bigger part of its energy strategy and has thus proudly positioned this multibillion-dollar project as the world’s largest sour-gas development. As operator, ADNOC holds a 70% stake in the concession alongside partners Eni (10%), PTTEP (10%), OMV (5%), and Lukoil (5%). ADNOC has also committed to making Hail and Ghasha the first major gas fields to operate with net-zero emissions, supported by substantial investments in carbon capture technology and the use of nuclear power. Yet there may be more to Ghasha’s supply-side potential, thanks to a team of engineers and subsurface experts who weren’t ready to give up on a stubborn rock. Discovered in 1979, the Pre-Khuff formation is a gas-rich sandstone that, though free from H2S, presents other challenges that have so far kept it from reaching commercialization. “The Pre-Khuff has performed well across the region—in Saudi Arabia and Qatar—but here in the UAE, we’ve faced 4 decades of unsuccessful attempts to unlock its potential,” said Jasim Ali Alloghani, ADNOC’s subsurface manager for the Gasha concession. He explained the complexities of the Pre-Khuff formation center around its depth, temperature, and tightness. Offshore the UAE, the Pre-Khuff formation is found 16,000 ft below the mudline where temperatures are more than 350°F and reservoir pressures exceed 10,000 psi. The sandstone is also rich in clay, with estimated clay content ranging from 10 to 40%. This leaves the rock with an upper porosity of about 12%, and a permeability range of 0.01 to 1 mD. The difficulties associated with the Pre-Khuff formation intensify from there. With a Young’s modulus of around 10 million psi, the rock is more than twice as stiff as much of the prolific Wolfcamp Shale in the Permian Basin that spans Texas and New Mexico in the US. The formation is also dominated by natural fractures and varying fracture gradients. Additionally, wellbore washouts while drilling in the deep reservoir have hindered geomechanical data acquisition. ADNOC has also found that the state of stress changes both laterally and vertically, i.e., anisotropy, due to the reservoir’s structural deformation. Additionally, ADNOC has faced challenges with designing effective completion designs due to limited technology and expertise. However, ADNOC’s fortunes with the Pre-Khuff shifted in early 2023 when the company executed the first successful multistage hydraulic fracturing treatments ever performed offshore Abu Dhabi. ADNOC reported a five- to 10-fold increase in initial flow rates from Pre-Khuff wells compared with initial attempts.

Exploring the associations among major fields of study, pre-professional activities, and post-college job quality in alumnx of liberal arts colleges

AbstractAcross several decades of studies seeking to examine the effects of college on students’ careers, earnings are the outcome that has captured the most attention, as discussed by Mayhew et al. (2016), and large-scale efforts like the College Scorecard feature median earnings as the only career outcome displayed, presented alongside graduation rates and annual average costs in its college search website, as discussed by USDOE (2023). The study sought to build upon and nuance of prior research by examining the effects of higher education on students’ career outcomes based on a multifaceted conceptualization of job quality. The results reinforce the importance of pre-professional activities such as internships and participating in faculty research, although the frequency of engagement differed by major and student race. Ultimately, the findings provide new evidence in three areas: the associations between undergraduate major and the quality of one’s first job following graduation and the impact of engaging in pre-professional activities during college; the associations between undergraduate major and the quality of one's current job, and the mediated role of engaging in pre-professional activities during college and the quality of one’s first job; and the extent to which these mechanisms differ between alumnx from the global majority and those who identify as White.

대학 메타버스 활용 교육 연구동향

Objectives This study analyzed research trends in university metaverse utilization education and attempted to provide basic data for future university metaverse utilization education research. Methods This study was conducted from February 2024 to April 2024. Related prior studies were analyzed for two weeks, a research plan was established for two weeks, and papers to be analyzed were collected for four weeks from March 1. 42 domestic academic journals were selected, and the research period, research type, research content, major field, related variables, class type, class period, and platform trends were analyzed and described for four weeks from April 1. Results First, the most educational research on university metaverse was conducted in 2023. Second, the trend by research type showed a high proportion of mixed research, followed by quantitative research, development research, qualitative research, and literature research. Third, trends by major area showed high utilization in education. Fourth, in terms of trends by research content, the most research was conducted on program development and effectiveness for education using the metaverse. Fifth, the trend for each related variable showed that metaverse utilization classes were used as an independent variable, immersion was used as a mediating variable, and learning satisfaction and learning presence were used as dependent variables. Sixth, trends by class type showed a high proportion of subject areas. Seventh, the trend by class period was highest at 13 weeks. Eighth, the trend by platform showed high utilization of Gathertown. Conclusions This study is significant in that it analyzed trends in educational research using university metaverse and proposed directions for future research.

From International Mandate to National Legislation: Pakistan’s Response to Erga Omnes Obligations on Child Sexual Abuse

Abstract This article critically assesses Pakistan’s compliance with erga omnes obligations under the Convention on the Rights of the Child (CRC) concerning sexual abuse of children. It discusses the discrepancies between the international and national levels of legal provision and scrutinizes Pakistani measures to safeguard children against sexual exploitation from the perspective of the CRC. However, there are shortcomings in implementing such laws and, therefore, such protections are not effectively implemented. In the current article, some of the major fields of Pakistan’s legislation that do not conform to international standards are described, and the importance of legal reforms is stressed. Pakistan can better work to eradicate child sexual abuse and meet the requirements of the CRC through the synchronization of national laws with international norms and standards.

Algal Active Ingredients and Their Involvement in Managing Diabetic Mellitus.

Diabetes mellitus (DM) is becoming increasingly prominent, posing a serious threat to human health. Its prevalence is rising every year, and often affects young people. In the past few decades, research on marine algae has been recognized as a major field of drug discovery. Seaweed active substances, including algal polysaccharides, algal polyphenols, algal unsaturated fatty acids, and algal dietary fiber, have unique biological activities. This article reviews the effects and mechanisms of the types, structures, and compositions of seaweed on inhibiting glucose and lipid metabolism disorders, with a focus on the inhibitory effect of active substances on blood glucose reduction. The aim is to provide a basis for the development of seaweed active substance hypoglycemic drugs.

Amplifying Cognitive Functions in Amateur Esports Athletes: The Impact of Short-Term Virtual Reality Training on Reaction Time, Motor Time, and Eye-Hand Coordination.

Electronic sports (esports) have grown into a major competitive field in today's digital landscape, attracting the interest of established companies and evolving into a fast-growing industry. Cognitive function, including reaction time, motor time, and eye-hand coordination, plays a crucial role in e-athlete performance. This study aims to examine the impact of VR training on these cognitive functions in amateur e-athletes. The study involved 66 amateur e-athletes (45 men and 21 women, aged 19-41, with a mean age of 23.96 ± 3.90 years) who reported active, non-professional involvement in esports. Participants were randomly assigned to an experimental group (E) (n = 32) and a control group (C) (n = 34), with initial comparisons confirming no significant differences in daily gaming habits, esports experience, or age between groups. The E group completed 15-minute daily training sessions using the VR game Beat Saber over eight consecutive days. The results demonstrated that VR training significantly improved eye-hand coordination in the experimental group, although there were no notable effects on reaction time or motor time. These findings suggest that VR training may be an effective method to enhance certain cognitive functions, specifically eye-hand coordination, among amateur e-athletes. This could offer a valuable approach for performance improvement in this rapidly growing field.

The application and challenges of different face recognition technologies in the three major fields of security, social media, and medical care

Abstract. Face recognition technology is a very important part of modern technology, which can not only be used to ensure security, but also can be used in the field of information organization and content division. However, with the popularization and application of face recognition technology, many problems that need to be solved urgently have emerged: excessive computing resources are consumed in order to pursue high-precision recognition, which brings computing pressure; The basis for improving recall is the need for a lot of power and memory; If security is not guaranteed, it can cause problems such as data breaches. The demand for face recognition technology is different in different use fields, so the purpose of this study is to combine the scene requirements and technical advantages more reasonably. The research results are as follows: the high accuracy and recall rate of 3D convolutional neural networks (3DCNNs) ensure that it can be used safely in high-precision and high-security scenarios. Lightweight Convolutional Neural Network (MobileNetV2) is suitable for resource-constrained environments due to its low memory consumption and low communication cost. Edge computing real-time face recognition (EC-RFERNet) is the most suitable for large-scale popularization and application among the three because of its lowest power consumption and latency. This study deeply explores the advantages and disadvantages of different facial recognition technologies and finds solutions to their shortcomings. According to their unique advantages combined with the requirements of commonly used scenarios, it provides a scientific basis for the deployment of face recognition technology in different fields. However, due to limited information, this paper cannot cover all application scenarios and the latest technologies, so it is hoped that in the future, we can combine the advantages of different technologies to develop more comprehensive face recognition technology and make more reasonable technical planning.

PH- and temperature-dual responsive polymer emulsion for rapid release of drag reducer

Slick water fracturing fluid is widely used in major oil fields due to its low cost and high drag reduction. Polyacrylamide emulsions drag reducers play a decisive role in slick water fracturing. The dissolution rate of polymer emulsions drag reducers was increased by adding hydrophilic surfactants, but the stability of the emulsions is poor, which limits its wide application. In order to solve the contradiction between the stability of polymer emulsion and rapid release of drag reducer. Here, a P(AA-AM-AMPS) polymer emulsion drag reducer with dual stimulation response of pH and temperature was designed. Surfactant (D400/OA) with dual responses to pH and temperature is synthesized by using oleic acid (HOA) and polyether amine 400 (D400). D400/OA shows a remarkable pH- and temperature-responsive behavior due to the pH- and temperature-induced structural transformation of D400/OA. Interestingly, D400/OA-stabilized monomer emulsion exhibits an obvious pH- and temperature-induced structural transformation. Meanwhile, The D400/OA-stabilized monomer emulsion has remarkable stability, which benefits the inverse emulsion polymerization of P(AM-AA-AMPS) polymer. The obtained P(AM-AA-AMPS) polymer emulsion maintain stability whose particle size nearly unchanged by storing for 15 days. Interestingly, P(AM-AA-AMPS) polymer emulsion can be released completely by changing the pH or temperature of the aqueous solution. The apparent viscosity of P(AM-AA-AMPS) polymer, in either the alkaline (pH=10.31) solution of 25±2 °C or neutral (pH=7) solution of 70±2 °C, respectively required 40 s and 8 min to reached a maximum value of 96 mPa·s. The release rate of P(AM-AA-AMPS) polymer emulsion is further enhanced under the dual responsive of temperature (70±2 ℃) and pH (10.31) and it takes only 20 s, In addition, the drag reduction rate of P(AM-AA-AMPS) polymer emulsion is 72 % when completely released under the dual responsive of temperature and pH, showing a remarkable drag reduction property. The D400/OA-stabilized P(AM-AA-AMPS) polymer emulsion are expected to meet the demand for the production enhancement of the oil and gas reservoirs.

Biochar-Supported Phytoremediation of Dredged Sediments Contaminated by HCH Isomers and Trace Elements Using Paulownia tomentosa

The remediation of dredged sediments (DS) as a major waste generation field has become an urgent environmental issue. In response to the limited strategies to restore DS, the current study aimed to investigate the suitability of Paulownia tomentosa (Thunb.) Steud as a tool for decontamination of DS, both independently and in combination with a sewage sludge-based biochar. The experimental design included unamended and biochar-supplemented DS with the application rates of 2.5, 5.0, and 10.0%, in which vegetation of P. tomentosa was monitored. The results confirmed that the incorporation of biochar enriched DS with the essential plant nutrients (P, Ca, and S), stimulated biomass yield and improved the plant’s photosynthetic performance by up to 3.36 and 80.0 times, respectively; the observed effects were correlated with the application rates. In addition, biochar enhanced the phytostabilisation of organic contaminants and shifted the primary accumulation of potentially toxic elements from the aboveground biomass to the roots. In spite of the inspiring results, further research has to concentrate on the investigation of the mechanisms of improvement the plant’s development depending on biochar’s properties and application rate and studying the biochar’s mitigation effects in the explored DS research system.

An Efficient Fusion Network for Fake News Classification

Nowadays, it is very tough to differentiate between real news and fake news due to fast-growing social networks and technological progress. Manipulative news is defined as calculated misinformation with the aim of creating false beliefs. This kind of fake news is highly detrimental to society since it deepens political division and weakens trust in authorities and institutions. Therefore, the identification of fake news has emerged as a major field of research that seeks to validate content. The proposed model operates in two stages: First, TF-IDF is applied to an entire document to obtain its global features, and its spatial and temporal features are simultaneously obtained by employing Bidirectional Encoder Representations from Transformers and Bidirectional Long Short-Term Memory with a Gated Recurrent Unit. The Fast Learning Network efficiently classifies the extracted features. Comparative experiments were conducted on three easily and publicly obtainable large-scale datasets for the purposes of analyzing the efficiency of the approach proposed. The results also show how well the model performs compared with past methods of classification.

Exploring the Possibilities of Using Recovered Collagen for Contaminants Removal—A Sustainable Approach for Wastewater Treatment

Collagen is a non-toxic polymer that is generated as a residual product by several industries (e.g., leather manufacturing, meat and fish processing). It has been reported to be resistant to bacteria and have excellent retention capacity. However, the recovered collagen does not meet the requirements to be used for pharmaceutical and medical purposes. Due to the scarcity of water resources now affecting all continents, water pollution is a major concern. Another major field that could integrate the collagen generated as a by-product is wastewater treatment. Applications of collagen-based materials in wastewater treatment have been discussed in detail, and comparisons with already frequently used materials have been made. Over the last years, collagen-based materials have been tested for removal of both organic (e.g., pharmaceutical substances, dyes) and inorganic compounds (e.g., heavy metals, noble metals, uranium). They have also been tested for the manufacture of oil-water separation materials; therefore, they could be used for the separation of emulsified oily wastewater. Because they have been analysed for a wide range of substances, collagen-based materials could be good candidates for removing contaminants from wastewater streams that have seasonal variations in composition and concentration. The use of recovered collagen in wastewater treatment makes the method eco-friendly and cost efficient. This paper also discusses some of the challenges related to wastewater treatment: material stability, reuse and disposal. The results showed that collagen-based materials are renewable and reusable without significant loss of initial properties. In the sorption processes, the incorporation of experiments with real wastewater has demonstrated that there is a significant competition among the substances present in the sample.

Determination of Direct and Indirect Costs Incurred by Tuberculosis Patients During Diagnosis and Treatment in Urban Areas of South Gujarat: A Mixed Method Approach

Though many initiatives and monetary benefits are incorporated under RNTCP/NTEP, many patients might incur some out-of-pocket expenditure (OOP) related to diagnosis, treatment, and hospitalization. Such costs lead to further poverty and default. This study estimated OOP costs. A cross-sectional mixed method study was conducted in 2020. Data were collected from two selected UHCs (both public and private sectors) from all eight administrative zones. A total of 278 newly registered drug-sensitive tuberculosis patients at different stages of treatment were enrolled, and 18 IDIs were done after obtaining the consent. Among 278, 231 (83%) were seeking the treatment from the public sector and 47 (17%) from the private sector. The average direct, indirect, and total costs were Rs. 8812, Rs. 4825, and Rs. 13,637, respectively. Extra food and supplements are the major field of expenditure for those enrolled in the public sector. Higher costs were incurred by the private sector patients. Longer distances, a long waiting time, belief systems, and unavailability of facilities or drugs were the common reasons for not visiting the public sector. IDI results also supported the cost heads. The majority of the expenses occurred at the private settings before diagnosis. IDIs suggested to changes in the programmatic approach toward migrants, industrial workers, and women.

U.S. students learning Czech in study abroad: motivational dynamics

Abstract While study-abroad students generally prefer destinations where the local language relates to their personal, academic, or professional pursuits, the Czech Republic ranks as the 25th most popular destination for U.S. study abroad, signalling an interest in exploring beyond traditional language choices. This study addresses the gap in the literature on learning a less commonly taught language in the study abroad setting, which is unrelated to the student’s major fields of study (Czech). Over thirteen weeks, data were gathered through a qualitative methodology involving initial questionnaires, learner diaries, and semi-structured interviews with a sample of five students. Drawing on the L2 Motivational Self System (L2MSS), the research underscores the impact of the L2 learning experience and the construct of the ideal L2 self on motivation. Findings revealed a general increase in motivation for learning Czech throughout the semester, accompanied by a decline in the ideal Czech self by the end and an indicative enhancement in the ideal multilingual self-concept. This study additionally emphasizes the vital role of mandatory language courses in augmenting motivation, particularly when aligned with learners’ objectives. These insights broaden the understanding of motivational dynamics in acquiring languages other than English (LOTEs), highlighting the necessity for continued exploration of the multilingual motivational self-system within study-abroad contexts.

Bandgap tuning for transition metal oxides via PEGylation

Abstract Bandgap engineering is controlled manipulation of the bandgap of materials/meta-materials to achieve desired properties. The electrical and optical properties of materials are significantly affected by bandgap tuning; therefore, bandgap engineering is a powerful technique for designing electronic and optoelectronic devices. Compositional engineering, strain engineering, and nanoscience and technology are the three major fields associated with bandgap engineering. Any unique combination of this engineering can provide novel strategies to produce novel band-structured devices. In this method article, we have demonstrated how solvation energy can alter the bandgap energy, a fact that is generally ignored due to misconceptions about quantum/size confinement. Here, we prepare nanostructured transition metal oxides (Co3O4, CuO, and ZnO) with polyethylene glycol (PEG), and the method is termed PEGylation. We investigate the influence of PEGylation on the structural, electrochemical, and electronic nature of these oxides. It is observed that the bandgap tunability (7.33%) is maximum for ZnO. Our study suggests that band alteration is significantly correlated with the change in lattice parameters; however, it is orientation dependent as the correlation coefficient reduces to 0.85 from 1 for the change in lattice parameter b along the y-axis compared to the other two lattice parameters. Similarly, band alteration is also known to have some correlation with the electrochemical potential, but is surprisingly almost independent of size confinement.

Disability and postsecondary fieldwork experiences in the natural sciences: A systematic review

AbstractWe present a systematic review of 29 empirical studies on disability and fieldwork in natural science, postsecondary educational settings. Undergraduate students with disabilities are underrepresented in STEM, and disciplines requiring major field components are some of the least diverse, at least in part because fieldwork has been traditionally viewed as hard, physical, and masculine. Disability Studies in Education (DSE) frames the research questions, inclusion criteria and results. Studies were coded by disability model used, barriers and strategies to accessibility in field science, and meaningful involvement of persons with disabilities in research on fieldwork education. Although most studies asserted a view of disability as a social, cultural, and political phenomenon, some deficit language and interpretations persisted. Few studies included author positionality, and even fewer disclosed author disability status. The main instructional recommendations emphasize flexibility and adaptability, presuming student competence and making small‐scale changes consistently over time. Multiple studies emphasize the need for proactive planning, including robust contingency plans, and explaining how these plans can negate the need for complex modification. Twenty‐four additional non‐empirical studies are identified as resources for discipline‐specific guides and checklists for inclusive fieldwork. We conclude that important steps are being taken to investigate and critique barriers to fieldwork participation for students with disabilities, but there is still much work to be done in addressing systemic barriers beyond the control of individual instructors.

The overlooked effects of environmental impacts on root:shoot ratio in experiments and soil-crop models

Process-based soil-crop models are becoming increasingly important to estimate the effects of agricultural management practices and climate change impacts on soil organic carbon (C). Although work has been done on the effects of crop type and climate on the root:shoot (biomass) ratio, there is a gap in research on the effects of specific environmental or management conditions such as drought, temperature, nutrient limitation, elevated CO2 or tillage on the root:shoot ratio and thus, atmospheric C sequestration. In this study, we quantified the effects of these factors on the root:shoot biomass ratio by reviewing the current literature, presented common simulation approaches and performed model simulations using different examples. Finally, we identified different research gaps with respect to the root:shoot ratio with the aim of better estimating and predicting atmospheric C sequestration. A predominantly positive response of the root:shoot ratio was observed in case of elevated CO2 (~12 %), low soil N levels (~44 %), and drought (~14 %). Soil tillage did not affect root:shoot ratio of the major field crops but increased it by ~15 % in case of wheat. There are only few field studies on air temperature increase and the results vary widely (mean − 48 %). The responses of tested models to the mentioned effects root:shoot ratio were slightly positive in case of CO2 elevation (0 to 2 %) and tillage (0 to 8 %), slightly to clearly positive in the case of drought and N limitation depending on the model (1 to 40 %), and very variable in case of the air temperature scenarios. Our study reveals large model uncertainty (especially on temperature effects), particularly for below ground processes that highlight knowledge gaps in simulating root:shoot ratio. We advocate for the need of more model-oriented specific experiments under abiotic stresses to help model improvement. Such research effort would enable more robust and reliable root:shoot ratio simulations.

The Venice Charter – the foundation of heritage protection or the burden of the past? An answer through the Greek experience

In the 60 years since its adoption, the Venice Charter has become a foremost point of reference in the conservation agenda of numerous countries around the globe, especially in Europe. The celebrated document’s relation with Greece in particular started upon its very conception; one of the contributors to its compilation came from Greece, namely architect Efstathios Stikas. Yet despite this early connection, the charter’s influence in Greek conservation matters was initially minimal, and only after 1974, became substantial. Based on bibliographic and archival research, coupled with personal experience from related duties, the present paper seeks to review and appraise the development of the usefulness of the charter in the Greek context, with emphasis on its post-1974 contribution in four major fields of related action: legislation, judicial affairs, specialized education, and conservation and restoration works. This assessment provides the basis for a conclusive remark as to the acclaimed document’s culminating function, along with proposals for an optimization of its future contribution.

Unlocking thin sand potential: a data-driven approach to reservoir characterization and pore pressure mapping

The gradual decline of production of the major fields of the Indus Basin has influenced the field pressure. Therefore, the prospects need to be assessed by the petro-elastic relationship. This study highlights the value-addition for identifying gas pockets within the E-Sand of the Lower Goru Formation through estimating and populating petro-elastic properties. A probabilistic neural network (PNN) was employed to develop the relationship of pore pressure to the inverted properties. The outcomes will help identify the high-pressure areas in accordance with the petro-elastic relationship for optimizing production strategy. In order to evaluate the petro-elastic relationship, stochastic seismic inversion was employed to holistically capture the reservoir’s variability. Pore pressure volumetric was estimated from inverted attributes using a PNN, a non-linear algorithm that was more suited to heterogeneous reservoirs. The main objective of the research is achieved via enhanced resolution of elastic properties attained through the integration of stochastic inversion and PNN processes. The high-resolution elastic properties including P-impedance, S-impedance, and Vp/Vs ratio can delineate the heterogeneities more profoundly. The petrophysical volumes obtained via enhanced inverted properties combined with pore-pressure through PNN illuminated the potential facies and the correlations in predicting the properties. The procedure provides a linkage of elastic, petrophysical, and geomechanical properties that is helpful for professionals covering a broad field of the petroleum sector. The developed workflow can be followed globally where problems occur regarding heterogeneities and early depletion.

Current status, evolution, and future perspectives in robotic platform systems for prostate cancer treatment: a narrative review.

Robotic surgery has contributed greatly to the shift from traditional surgery to minimally invasive surgery. Urology is the major field of application of robotic surgery. Several urological procedures, especially radical prostatectomy, benefit from the use of robotic surgery. Non-systematic research of the literature was performed using "Robot-assisted radical prostatectomy" and "Robotic platforms" as keywords to understand the actual situation and the future perspectives of this technology in prostate cancer treatment. The robotic platform landscape is constantly evolving. DaVinci has always been the mainstay in this field, particularly after the advent of the new single port platforms. New platforms are emerging, providing an alternative option to the well-known DaVinci system. Since in literature, few studies compare the use of different robotic platforms, their application in urological procedures is not yet widely used, for both oncological and non-oncological procedures. Furthermore, artificial intelligence begins to play a role in this landscape and could be useful for future developments. So further studies are warranted to give a full comprehension of the whole scenario. This review aims to analyze the current state of the use of robotic platforms in urology, particularly in radical prostatectomy, and to understand the evolution.

Influence of nano industrial waste and short coir fiber filler on hybrid inter and intra yarn bio fiber composites

Bio-polymer composites are emerging as a feasible substitute for conventional polymers in various major fields of applications. In the current research, the impact of hybridization of inter and intra-woven natural engineering fibers namely, brown flax, white flax, and jute of different amalgamations along with commingled SCF and novel nano IW filler has been studied. The composites are manufactured by hand layup process and physical and thermomechanical characteristics of the composites are experimentally studied. The composites mingled with IW filler demonstrated better dimensional stability and mechanical properties such as maximum tensile strength of 36.74 MPa, bending strength of 82.53 MPa, and hardness of 84.89 D compared to other composites. However, elastic and flexural modulus are maximum for composite without any filler. The composites mingled with SCF filler demonstrated the highest impact strength, energy absorption, and elongation. Thermogravimetric analysis and thermal conductivity study demonstrated that the composite with SCF filler exhibited better thermal stability and thermal resistance than the other hybrid composites. Fourier transform infrared spectroscopy study confirms the interaction of hydrogen bonds with different polymers, matrices, and fillers. It is established that the weaving pattern and the filler types greatly influences the mechanical and thermal characteristics of the composites. Filler addition and fabric hybridization optimizes the catastrophic failures and enhances the thermal stability, hence becoming more suitable for small interior structural components in aerospace and automobile applications.