Evaluation Of Resources Research Articles

Petroleum geology of conventional and unconventional resources: Introduction

Understanding reservoir, source, seal, migration pathways and trap characterization is the first step towards better energy resource exploitation. Several studies have been conducted in recent decades on the reservoir characteristics of conventional resources. Unconventional resources, on the other hand, have received more attention as alternative future energy solutions to depleted conventional resources. Drilling, exploration, development, and production of conventional and unconventional resources pose technical challenges to the energy industry. This special issue attempts to address the most pressing technical challenges in developing conventional reservoirs (such as sandstone and carbonate reservoirs) as well as unconventional energy sources (e.g., shale gas, shale oil, tight gas sand, coal bed methane, geothermal and gas hydrates). The special issue is composed of 21 papers that are classified into six different groups related to the physical and mechanical properties of reservoirs, petroleum geochemistry, petroleum geology, geological modelling, unconventional resource evaluation and conventional reservoir evaluation.

PV resource evaluation based on Xception and VGG19 two-layer network algorithm

With the increasing global demand for new energy sources, Photovoltaic (PV) is increasingly emphasized as a renewable energy source globally. Consequently, the assessment of PV resources has become crucial. Existing single frameworks and algorithms for PV resource assessment lead to low assessment accuracy. To alleviate the deficiency, this study proposes a two-layer network algorithm based on Xception and VGG19 for the evaluation of PV resources. The proposed method combines Xception convolutional neural network and VGG19 convolutional neural network. In addition, this study constructs a two-layer network framework based on the two-layer network algorithm. The feasibility and reliability of the proposed method are verified by simulating the proposed method under the case. Compared with existing algorithms, the proposed method and framework can improve the accuracy of PV resource assessment.

Comprehensive evaluation of water resources carrying capacity in Henan Province based on entropy weight TOPSIS - coupling coordination - obstacle model.

This study aims to investigate the water resource carrying capacity (WRCC) of Henan Province, identify its main obstacles, and provide suggestions for optimizing its WRCC. The article constructs a WRCC evaluation system with 20 indicators for the four subsystems of water resources, economy, society, and ecology based on literature and the actual situation of Henan Province. The entropy weighted TOPSIS method is used to calculate the WRCC of Henan Province from 2005 to 2021. The coupling coordination model is used to explore the degree of coupling coordination among internal systems, while the obstacle model is used to study its restrictive influencing factors. The study found that (1) the WRCC fluctuated in a U-shaped pattern around 0.5 during the study period; (2) the coupling and coordination degree of each subsystem is generally good, except for 2012 and 2013, which showed basic coordination; (3) currently, the main obstacles to the WRCC are ecosystems and water resources. The main indicators are afforestation area, proportion of the tertiary industry, fertilizer usage, and urban sewage treatment rate. Therefore, Henan Province should take measures such as reducing fertilizer usage, standardizing urban sewage treatment, improving water efficiency, and optimizing industrial structure to optimize its WRCC and promote comprehensive utilization of water resources.

Nano-Scale Pore Structure Characterization and Its Controlling Factors in Wufeng and Longmaxi Shale in the Zigong Area, Southwest Sichuan Basin

The nano-scale pore systems in shale reservoirs control shale gas transportation and aggregation, which is of great significance for the resource evaluation of shale oil and gas and the selection of a “sweet spot”. Taking twelve marine shale samples from the Wufeng–Longmaxi Formation in the Zigong area, southwest Sichuan Basin, as the research target, we carried out a series of experiments, including total organic carbon (TOC) analysis, X-ray diffraction (XRD), gas adsorption (CO2 + N2), and mercury intrusion porosimetry (MIP), to study the full-scale pore structure characterization and controlling factors of pore volume and specific surface area. The results presented the following findings. (1) Marine shale samples from the target area are rich in organic matter, with an average TOC value of 3.86%; additionally, the mineral composition was dominated by quartz and clay minerals, with average contents of 44.1% and 31.4%, respectively. (2) The full-scale pore size distribution curves of pore volume developed multimodally, with the main peaks at 0.5 nm–2 nm, 3 nm–6 nm, and 700 nm–2.2 um; moreover, the full-scale pore size distribution curves of a specific surface area developed unimodally, with the main peak ranging from 0.5 nm to 1.2 nm. (3) Pore volume was mainly contributed by mesopores and macropores, with an average contribution of 46.66% and 42.42%, respectively, while the contribution of micropores was only 10.91%. The specific surface area was mainly contributed by micropores and mesopores, with an average contribution of 64.63% and 29.22%, respectively, whereas the contribution of micropores was only 6.15%. (4) The TOC content mainly controlled the pore volume and specific surface area of micropores and mesopores, while the clay and feldspar content generally controlled the pore volume and specific surface area of macropores. Additionally, the quartz content had an inhibitory effect on the development of all pore types. These results will help researchers understand the laws of gas accumulation and migration.

A Decision-Making Platform for Educational Content Assessment Within a Stakeholder-Driven Digital Educational Ecosystem

The paper discusses the features of the implementation of a digital decision-making platformfor evaluating educational content as part of a stakeholder-driven digital educationalecosystem. The authors propose a methodology of business process digitalization that considersa three-stage quality evaluation of educational resources regarding their content, as intraditional textbooks, digital educational resources, e-learning content, curricula, etc. The digitaldecision-making platform (DDMP) is at the core of the examination of educational contentand resources through interactive voting by experts, which allows multi-criteria evaluation.DDMP is designed to provide experts with digitally intelligent services for expert assessmentand objective decision-making, as well as monitoring the assessment process. The developeddigital platform is integrated into any learning management system (LMS) by contributing tothe improvement of a digital educational ecosystem.

A Study on Multi-level Topologizable Optimization Decision Analysis of Online Digital Library Resources

Abstract This paper firstly proposes a digital resource system of university libraries oriented to knowledge service for digital library resource evaluation research, which mainly consists of a knowledge service diamond system and digital resource diamond system, and studies the evaluation elements and evaluation process of this system, then constructs the evaluation system of library digital resources from quantitative evaluation and qualitative evaluation, etc., and through multi-level topologizable theory, the evaluation indexes and The evaluation indexes and the correlation function are calculated by multi-level topology theory, to derive the weight coefficients and comprehensive superiority of the evaluation indexes, and an example analysis of the digital library based on multi-level topology optimization decision making is conducted. The results show that the users’ comprehensive evaluation of digital library decision-making is excellent, S2, S5 is good, S3 is medium, and S4 is average, where S5 has a higher comprehensive correlation degree in the good level than the correlation degree of S2, indicating that this study improves the quality of digital library decision making in universities and then better serves the users.

Assessment of schedulable potential for user-side resources participating in demand response based on improved G1 method using SRC

In order for user-side resources to participate in demand response (DR) more accurately, schedulable potential assessment of user-side resources is required. An improved G1 method using Spearman rank correlation (SRC) has been proposed to evaluate the schedulable potential for user-side resources. First, the DR potential evaluation indicator is established on the basis of the characteristics of user-side resources. Second, the resource potential score is calculated by using the improved G1 method using SRC, and the DR potential is obtained. Finally, the resource schedulable capacity of a certain region is obtained. The results show that the method realizes the potential evaluation of user-side resources in a region to participate in DR and provides data support for the power supply company to reasonably schedule user-side resources. Moreover, when compared with existing methods, the proposed method greatly improves the availability of the power company–scheduled regional resources to participate in DR.

The Urgency of Educational Management in Developing Islamic Educational Institutions

This research aims to explain the urgency of developing Islamic educational institutions. This type of research is qualitative with a Library Research approach. The research data is in the form of data about the urgency of educational management, Islamic educational institutions from primary sources in educational form management books, Islamic educational institutional development books, and relevant journals. Data collection techniques were carried out using documentation studies. The researchers' data sources were obtained from books and journals about the urgency of educational management in Islamic educational institutions. Data analysis uses Content Analysis. Based on the research results, it was found that educational management has a very important urgency in developing educational institutions. The urgency of educational management in developing educational institutions includes Improving the Quality of Education, Resource Efficiency, Planning Strategy, Providing an Optimal Learning Environment, Human Resource Development, Evaluation, and Continuous Improvement, which are called Educational Goals. Thus, educational management is a very important foundation in developing educational institutions so that they can provide quality, efficient education in line with the demands of the times. Thus, this conclusion shows that Islamic education management in developing educational institutions can make a positive contribution to creating better educational institutions.

BÜYÜKÇEKMECE MUNICIPALITY STUDIES WITHIN THE FRAMEWORK OF EFFECTIVE AND EFFICIENT MUNICIPALISM - BUDGET AND RESOURCE EVALUATION

The swift transformation experience in almost every topic in the world has also affected the field of public administration. Population growth, economic, political, social, cultural and ecological changes; demands and expectations have changed, and the scope of many fields has been expanded in line with these changes. Diversification of public services with the increase in population; demand for efficiency and quick turnaround in services; The emphasis on transparency and responsibility towards the public has affected not only central governments, but also local governments and municipalities from local government units. When the socioeconomic and cultural conditions changed the needs of the cities and the people of the city, it became necessary to change in the public administration units and in the municipalities as a part of them. The desire to realize the public interest necessitated reconsideration of strategic goals and objectives, prepared plans and programs and projects according to current conditions. All these have been reflected in the use of resources, income and expenditure balances as necessary elements for the fulfillment of the social municipality understanding. With the strengthening of democracy and the rise in the duties of local governments, municipalities, one of the main actors of this process, gained importance. In this study; It is examined through the example of Büyükçekmece Municipality how the municipalities respond to the changing and increasing demands and conditions by considering the conditions under which the municipalities prepare their budgets while fulfilling their strategic goals and plans, while meeting the demands, and which needs they use.

A novel method for quantitative evaluation of oil content and mobility in shale oil reservoirs by NMR logging: a case study of the inter-salt shale oil in the Jianghan Basin

The evaluation of oil content and mobility in shale oil reservoirs is the key to the optimization of the "sweet spot" of shale reservoirs and the evaluation of available resources. In order to address the challenge of quantitative evaluation of oil content and mobility in shale oil reservoirs, a combined multi-temperature pyrolysis and NMR experimental platform and experimental procedure are innovatively designed and implemented in this paper. The experiments reveal the NMR T2 distribution characteristics of hydrocarbon components in different reserve states. Accordingly, the NMR T2 cutoff values of different hydrocarbon components are determined, and the quantitative evaluation method based on NMR logging for total oil content and movable hydrocarbon content is established. The method has been applied to the inter-salt shale oil BYY2 well in Jianghan Oilfield, and the results show that the total porosity of the shale reservoir in the Qian 4 sub-Member is similar, but the total hydrocarbon content (0.04 g/kg∼16.0 g/kg) and the movable oil content (0.02 g/kg∼4.9 g/kg) are significantly different. Compared with the preferred scheme of reservoir based on porosity, accurate quantitative evaluation results of oil content and mobility based on logging provide a more straightforward indication of the resource potential of the reservoir that is available for exploitation. The experimental scheme of multi-temperature pyrolysis-NMR and the quantitative evaluation method for oil content and motility based on NMR logging will provide an important basis for resource evaluation, optimal formation selection and efficient development of shale oil reservoirs.

Application of GIS in Land Policy and Planning Strategies in Rural Revitalization

In recent years, there has been a growing emphasis on reviving rural areas in China, which has become a crucial strategic direction for the nation's economic and social development. Currently, rural revitalization is a major endeavor in China, and the successful implementation of land policy and planning strategies is crucial to its achievement. This study seeks to examine the use of Geographic Information System (GIS) in crafting land policy and planning strategies for rural rejuvenation. By harnessing GIS technology, a thorough evaluation and analysis of rural land resources can be undertaken, furnishing a scientific basis for formulating land policy. Furthermore, Geographical Information Systems (GIS) provide opportunities for spatial analysis, simulation, and decision support capabilities to implement rural land policy and planning strategies. Nevertheless, the use of GIS technology presents challenges and limitations in terms of data acquisition and technological implementation. To promote the sustainable development of the rural economy, future research efforts should concentrate on further enhancing the utilization of GIS technology in rural revitalization.

Comprehensive evaluation of the underground space resources in Xianyang city

With the rapid development of urbanization and the sharp increase in population, urban land is becoming increasingly scarce. The efficient and reasonable development of the underground space is a crucial way to solve the problem of urban diseases, and comprehensive evaluation of urban underground space resources is an important basic task to achieve reasonable planning of the underground space. Adopting Xianyang city as an example, in this paper, we comprehensively evaluated the underground space resources in the main urban area and established evaluation models for the amount of resources available for development, development difficulty, potential value, and comprehensive quality of the underground space. Evaluation indicators, including urban environmental constraints, geological conditions, socioeconomic conditions and many other factors, were determined. With the use of the method of item-by-item elimination of restrictive elements and the analytic hierarchy process for determining the weight of each evaluation index, GIS technology was used to calculate and evaluate the underground space resources (0–30 m) in the main urban area of Xianyang city that could be reasonably developed, as well as the corresponding development difficulty and potential value, and we obtained the underground space that could be reasonably developed under different types of land use in the main urban area of Xianyang city on the basis of the resource quantity and comprehensive quality evaluation results. The results showed that in terms of quantity, the amount of underground space available for development in the main urban area of Xianyang city accounts for approximately 25.11% of the total development amount, and the underground space that could be developed and utilized is approximately 82.3 km2. The underground space resources that could be developed within a 30 m depth interval in the main urban area reached 2.465 billion m3, accounting for approximately 79.5% of the total shallow underground space resources, and the potential for development and utilization is enormous. In terms of the comprehensive quality, the highest comprehensive quality level of shallow underground resources is located in the core areas along Renmin Road, Weiyang Road, and Century Avenue, with an area of 21.52 km2, and the highest comprehensive quality level of subshallow underground resources is located along Renmin Road and Weiyang Road, with an area of 4.37 km2. The evaluation results could provide high reference value for urban development planning and underground space development and utilization in Xianyang.

Energy analysis of the absorption cooling cycle from the waste heat of the hospital sterilization unit

AbstractAutoclave devices are used to perform high‐temperature sterilization processes under pressure. Autoclaves can be integrated with an absorption refrigeration cycle to utilize the waste heat generated at high temperature during the process. Today, many studies are carried out on the evaluation of energy resources. In this study, it is designed to obtain a cooling load by adding an integrated sub‐cycle to the waste steam heat of the autoclave device in a sterilization unit. In the lower cycle, the ammonia/water absorption refrigeration cycle is used. According to the energy analysis; With the condition that the cooling temperature is 7°C, the generator temperature of 95°C and a cooling load of 130.9 W occurred with 531.7 W of waste heat received by the absorption cooling system. Accordingly, an efficiency of COP 0.246 was obtained. The energy analysis of the absorption refrigeration cycle can improve the energy efficiency of the autoclave and save energy. In addition, the obtained cooling load will be preserved in medical supplies that need to be kept cold.

Assessment and Analysis of Ecotourism Resources in China Based on RIAM System

Abstract Ecotourism resources constitute the basis of ecotourism development. This paper firstly constructs the evaluation indexes of ecotourism resources based on the RIAM model and selects three indexes of site condition resources, landscape resources and ecological environment resources to build the evaluation model. Then we use the entropy value method and hierarchical analysis method to determine the weights of evaluation indicators, construct a judgment matrix, and use the extreme value method to standardize the original data to eliminate the variability of metric units and normalize the standardized matrix to calculate the indicator weights. Finally, China’s ecotourism resources are comprehensively evaluated and scored, and typical ecotourism areas are selected to analyze their economic benefits, natural ecological index and tourism base index. China’s ecotourism site condition resources were scored as 96, landscape resources were scored as 96, and ecological environment resources were scored as 97. In terms of economic benefits, the total annual revenue of A national ecotourism site increased by 134% in 2017 compared with 2012; accommodation income decreased by 9%, entertainment income increased by 200%, other income increased by 49%, and received 167% more visitors. The RIAM-based model enables effective analysis and evaluation of ecotourism resources in China.

Prediction of Au-Polymetallic Deposits Based on Spatial Multi-Layer Information Fusion by Random Forest Model in the Central Kunlun Area of Xinjiang, China

In recent years, there has been a growing emphasis on combining intelligent prospecting algorithms, such as random forest, with extensive geological and mineral data for the purpose of quantitatively predicting exploration geochemistry. This approach holds significant importance for enhancing the accuracy of target delineation. The central Kunlun area in Xinjiang possesses highly favorable ore-forming geological conditions, offering excellent prospects for mineral exploration. However, the depletion of shallow deposits coupled with a decade-long gap in geological exploration have presented increasing challenges in the quest to discover substantial metal resources. Consequently, there is now a severe shortage of reserve assets in the region, prompting an urgent need for the implementation of new theories, methods, and technologies in mineral resource investigation and evaluation efforts. The researchers used geological and regional geochemical data to construct a random forest metallogenic discriminant model for predicting the mineralization of gold polymetallic minerals in the central Kunlun area of Xinjiang and delineating the metallogenic target area. Two different sampling methods were compared to quantitatively predict gold polymetallic mineral resources. The results indicate that the selected training samples offer higher prediction accuracy and reliability by fully capturing the complex information of the original data. The random forest model using select training samples has valuable applications in metallogenic prospect prediction and potential division due to its ability to consider the actual exploration cost and identify small areas with high potential and a high proportion of ore. This study significantly improves prediction accuracy, reduces exploration risk, and expands the use of machine learning algorithms in mathematical geology in the central Kunlun area of Xinjiang.

TeRMEd: a framework for educators to aid in the design and evaluation of technology-enhanced resources in mathematics

In this paper, we describe a classification framework which we developed and that practitioners find useful and usable in the design and evaluation of technology-enhanced resources and that incorporates factors which impact on student engagement with such resources. The classifications in the TeRMEd framework were derived from an evaluation of technology-enhanced resources, trialed within non-specialist first-year undergraduate mathematics modules. The theoretical foundation included a literature review, detailed analysis of resource trials and outcomes of the resource evaluations. Subsequently, the TeRMEd framework was evaluated by lecturers involved in the resource trials. Using the TeRMEd framework for technology integration was shown to be beneficial in terms of both design and evaluation. By carefully considering the classifications, practitioners can also encourage student engagement with resources.

Academic Performance Assessment Prediction Model Using the Adaptive Neuro-Fuzzy Inference System Method

Performance evaluation of Human Resources is an important part of an organization or company. One of the HR in tertiary institutions that must be evaluated is academic performance. The author conducted research on the factors of academic performance assessment. Therefore, we need a system that can classify academic performance optimally in order to improve the quality of academic performance. In this research, we construct a predictive model for academic ability evaluation using Adaptive Neuro-Fuzzy Inference System method. The ANFIS method shows a very good data accuracy of 92.20%. From each variable motivation to work appraisal show is a Good, competence to work appraisal = Good, compensation to work appraisal show is a Good, responsibility to work appraisal show is a Good, and job satisfaction to work assessment show is Good.

Evaluation of material and technical resources of the grain cluster

The object of the study is the process of functioning of enterprises of the grain products subcomplex. In the course of the study, the problem of growth rates and the peculiarities of the functioning of enterprises of the grain products subcomplex was solved. The article notes that the provision of material and technical resources plays an important role in improving the efficiency of the subcomplex of grain products. Given the importance of this branch of agriculture for the national economy, it is advisable for the state to intensify measures to support it as one of the main mechanisms for breaking negative trends characterizing the current state of agriculture. The development of a subcomplex of grain products requires its transformation, adequate to the conditions of demand for products produced in foreign and domestic markets. The fact that technical support is one of the key factors in the efficiency of agricultural, including grain, production is also indicated by the fact that in today's developed countries, the costs of maintaining, operating and updating the fleet of machinery and equipment form 40-60% of production costs.The projected level of grain production in the future should provide for a stable volume of its consumption, as well as an increase in the consumption of this valuable product for industrial processing, in particular, meeting the needs of livestock in concentrated feed, export "requests". To solve these archival tasks, it is necessary to carry out a structural reconstruction of the sown areas of grain crops in accordance with the needs of the country.

Analysis and Evaluation of Ecotourism Resources in China Based on RIAM Model

Abstract A comprehensive assessment of ecotourism resources is needed for the sustainable development of ecotourism in China. In this paper, based on the scientific classification of ecological resources, the RIAM model for the environmental impact assessment of ecotourism resources is established, and the indicator sets are obtained based on a fast matrix calculation combining semi-quantitative and qualitative. Then, the hierarchical analysis method is used to calculate the weights of different indicators for the established indicator sets. Finally, an empirical analysis of the resources of Huangtengxia Ecotourism Area was conducted based on the comprehensive assessment model. It was found that the bio-ecological impact index of Huangtengxia was [6,8,-2,15,7], and the economic return impact index was [4,7,10,-5,8]. Taken together, the overall evaluation of ecological tourism resources in Huangtengxia has a total score of 72, which belongs to the middle to the upper level of similar tourism resource regions in China. This study establishes a scientific evaluation system of ecotourism resources in Huangtengxia, which provides a valuable reference template for the evaluation of ecotourism resources in China.

Analysis of the world deepwater oil and gas exploration situation

The global trends in deepwater oil and gas exploration, characteristics of deepwater oil and gas discovery, and layout of deepwater oil and gas exploration business by seven major international oil companies are systematically analyzed using commercial databases (e.g. S&P Global and Rystad) and public information of oil companies. The deepwater area is currently the most important domain for global oil and gas exploration and discovery, with the most discoveries and reserves in passive continental margin basins. The deepwater discoveries have the greatest contribution to the total newly discovered oil and gas reserves in the sea areas, with an increasing number of lithological reservoirs discovered, and oil and gas discoveries mainly distributed in the Mesozoic–Cenozoic. The seven major international oil companies are widely active in various aspects of deepwater oil and gas exploration and development, and play a leading role. Based on years of theoretical understanding of global oil and gas geology and resource evaluation, it is proposed that favorable deepwater exploration areas in the future will mainly focus on three major areas: the Atlantic coast, the Indian Ocean periphery, and the Arctic Ocean periphery. Six suggestions are put forward for expanding overseas deepwater oil and gas exploration business: first, expand the sources for obtaining multi-user seismic data and improve the scientific selection of deepwater exploration areas; second, increase efforts to obtain deepwater exploration projects in key areas; third, adopt various methods to access into/exit from resource licenses flexibly; fourth, acquire licenses with large equity and operate in “dual-exploration” model; fifth, strengthen cooperation with leading international oil companies in deepwater technology; and sixth, improve business operation capabilities and gradually transform from “non-operators” to “operators”.