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Potential For The Production Of Deep To Ultradeep Coalbed Methane Resources In The Upper Permian Longtan Formation, Sichuan Basin, Ming Ying, Sun Haofei, Tang Dazhen, Xu Liang, Zhang Benjian, Chen Xiao, Xu Chang, Wang Jiaxian, Chen Shida

Coal Geology & Exploration

Breakthroughs have been achieved in the high-yield gas flow of coalbed methane (CBM) wells with burial depths ranging from 1000 to 2500 m in the Cainan area of the Junggar Basin and the Daning-Jixian and southern Yanchuan blocks on the eastern margin of the Ordos Basin, signifying the enormous potential for the production of deep CBM. In the Sichuan Basin, the thin to moderately thick coal seam groups (7‒15 layers) in the Upper Permian Longtan Formation primarily exhibit burial depths ranging between 2000 and 4500 m. In the central Sichuan Basin, characterized by north-dipping monoclines and local low-amplitude uplifts, deep …

Geological Characteristics And Favorable Area Evaluation Of Deep Coalbed Methane In Wangfu Fault Depression, Southern Songliao Basin, Shen Xia, Gong Haitao, Shao Mingli, Yang Minfang, Huo Wanguo

Coal Geology & Exploration

The Wangfu fault depression in the southern Songliao Basin is rich in coalbed methane (CBM) resources. However, CBM exploration in this area has been restricted by the low-level exploration of deep CBM and a lack of systematic studies on the geological characteristics of CBM, primary factors controlling CBM enrichment and accumulation, and the selection of favorable targets. Therefore, based on the systematical analysis of the geological characteristics of coal-bearing strata, this study identified the major factors controlling deep CBM accumulation, established the index system for favorable area selection, and predicted the favorable areas of CBM enrichment. The results show that: …

Moderately Deep Coalbed Methane Reservoirs In The Southern Qinshui Basin: Characteristics And Technical Strategies For Exploitation, Zhang Cong, Li Mengxi, Hu Qiujia, Jia Huimin, Li Kexin, Wang Qi, Yang Ruiqiang

Coal Geology & Exploration

This study investigated the northern Zhengzhuang-western Qinnan block for the purpose of achieving effective exploitation of moderately deep coalbed methane (CBM) reservoirs in the southern Qinshui Basin. Based on results from the analyses and tests of parametric wells, including core analysis and tests, injection/falloff tests, and in situ stress cyclic tests, as well as a large amount of dynamic and static data, this study expounded on the characteristics of moderately deep CBM reservoirs in the study area by comparison with shallow counterparts. Then, it explored the technical improvements in fracturing through vertical wells and staged fracturing through horizontal wells for …

A Calculation Model Of Free Gas Saturation In Deep Coalbed Methane Reservoirs And Its Application, Shi Juntai, Cao Jingtian, Xu Fengyin, Xiong Xianyue, Huang Hongxing, Sun Zheng, Jia Yanran, Ma Shurui, Zheng Haohang, Deng Ting, Li Jing, Li Xiangfang

Coal Geology & Exploration

In recent years, breakthroughs have been achieved in the exploration of deep coalbed methane (CBM) in China based on fine-scale geological research and techniques such as multistage hydraulic fracturing using proppants in a horizontal well. As a result, some wells yielded daily gas production of up to 100000 m³, inspiring confidence again in the CBM industry. However, since deep coal reservoirs occur in a complex geological environment characterized by high in-situ stress, high geotemperature, high pore pressure, and low permeability, there is an urgent need to reveal the typical parameters of coal reservoirs at different depths and the …

Mechanisms And Technological Parameter Optimization Of Near-Wellbore Laser Thermal Fracturing For Deep Coal Seams, Zhao Haifeng, Yang Ziyi, Liang Wei, Zhong Junbing

Coal Geology & Exploration

China boasts abundant deep coalbed methane (CBM) resources, which play a significant role in further CBM production. However, deep coal seams exhibit low porosities and ultra-low permeabilities due to intricate geological conditions. In the drilling process, drilling fluids enter the reservoirs, prone to cause near-wellbore contamination. Although conventional hydraulic fracturing technology tends to create fractures in the direction of the maximum horizontal principal stress, it is challenging for this technology to achieve blockage removing throughout the whole borehole. Laser thermal fracturing technology can break rocks in a short time. Furthermore, it allows for the laser irradiation angle to change freely …

Exploring The Principle And Method For Commingled Production Of Coal-Measure Gas Through Layered Pressure Relief In Surface Wells, Li Rui, Jin Lihong, Xia Binwei, Ge Zhaolong

Coal Geology & Exploration

This study aims to gain an in-depth understanding of factors restricting the commingled production of coal-measure gas and boost the contributions of various pay zones to gas production. To this end, it analyzed the essential factors of the dynamic, channel, and gas source conditions in the commingled production. The dynamic conditions for the commingled exploitation of multiple reservoirs can be met by (1) enhancing the flow conductivity of reservoirs by altering the crustal stress state and (2) changing reservoir fluid pressure by layers. Following this principle, this study proposed a method for the commingled production of coal-measure gas through layered …

Underground Coal Gasification: Overview Of Field Tests And Suggestions For Industrialization, Dong Zhen, Chen Yanpeng, Kong Lingfeng, Wang Feng, Chen Hao, Xue Junjie, Zhang Mengyuan, Chen Shanshan, Zhao Yufeng, Yu Yueyu, Gong Wanxing, Sun Hongliang, Wang Xinggang

Coal Geology & Exploration

Driven by the dual demands for achieving the goals of peak carbon dioxide emissions and carbon neutrality and for ensuring national energy security, underground coal gasification (UCG) in China is embracing a new historical development opportunity. To scientifically formulate a route for making technological breakthroughs in UCG and accelerate its industrialization, this study analyzed the history of UCG field tests, dividing UCG into three stages: UCG based on coal mines, vertical/directional wells, and horizontal wells. By exploring the underlying logic that propelled innovations in UCG technologies in different stages, this study delved into the technical and non-technical reasons for the …

Shepherds Leading The Flocks: A Qualitative Phenomenological Study Of Church Leaders Managing Church Membership During The Covid-19 Pandemic, Rbetrice Phillips

Dissertations

Purpose: The purpose of this phenomenological study was to identify and describe experiences of church leaders adapting the Scarneo (2019) intrapersonal and interpersonal socioecological influences while managing membership during the COVID-19 Pandemic.

Methodology: This study used a qualitative phenomenological approach with a socioecological justification with open-ended interview questions investigating the lived experiences of the participants. This study aimed to gather data from sample size 10 church leaders in Los Angeles County, California plus a snowball sampling of referred church leaders who managed during COVID-19. In this study, the collection of narratives through semi-structured interviews provided the data which was analyzed …

Deep Coal Reservoirs In The Ningwu Basin: Geothermal Field Characteristics And Their Effects On Gas-Bearing Properties, Xi Zhaodong, Tang Shuheng, Liu Zhong, Qu Xiaorong, Zhang Pengbao, Su Yufei, Zhang Qian

Coal Geology & Exploration

Temperature acts as an important factor affecting the gas-bearing properties of deep coal reservoirs, further affecting the development performance of deep coalbed methane (CBM). Therefore, ascertaining the geothermal conditions of coal reservoirs and their effects on the gas-bearing properties of deep coal reservoirs is critical to the systemic understanding of the enrichment characteristics and production patterns of deep CBM. For coal seam No.9 in the Taiyuan Formation within the Ningwu Basin, over 90% of the area has burial depths exceeding 1000 m. In the hinterland of the basin, coal seams generally exhibit burial depths greater than 1500 m, with a …

Enrichment And Accumulation Patterns And Favorable Area Evaluation Of Deep Coalbed Methane In The Fugu Area, Ordos Basin, Guo Guangshan, Xu Fengyin, Liu Lifang, Cai Yidong, Qin Wei, Chen Zhaohui, Deng Jimei, Li Zhuolun

Coal Geology & Exploration

The Shenfu block on the eastern margin of the Ordos Basin is a typical deep coalbed methane (CBM) field with abundant resources and considerable potential for exploration and exploitation. In October 2023, the large-scale Shenfu deep CBM field successfully reported proven geological reserves exceeding 110 billion m³. The Fugu area, located in the central part of the Shenfu block, is the earliest experimental area for deep CBM production. However, there is a lack of a clear understanding of CBM enrichment and accumulation patterns, as well as the potential for exploration and development, of this area. By comprehensively utilizing …

Exploration And Exploitation Of Deep Coalbed Methane In The Baijiahai Uplift, Junggar Basin: Progress And Its Implications, Lan Hao, Yang Zhaobiao, Chou Peng, Wang Bin, Liu Changqing, Liang Yuhui, Wang Yuqiang

Coal Geology & Exploration

The Jurassic coals in the Baijiahai uplift, with breakthroughs made in the deep coalbed methane (CBM) production of vertical wells in the early stage in China, serve as an important exploration target of the Junggar Basin. Their coal reservoirs feature an ultra-low ash content, a low moisture content, medium-to-high volatility, and favorable porosity and permeability systems. With gas accumulation modes, namely, the paleo-source and young-reservoir made and the self-source and self-reservoir mode, the coal seams enjoy favorable gas-bearing properties, such as a high gas content, a high proportion of free gas, and high gas saturation, which establish them as high-quality …

Origin And Accumulation Mechanisms Of Coalbed Methane In Low-Rank Coals In Gas-Rich Sags In The Erlian Basin, Lin Haitao, Li Ling, Tang Shuling, Tian Wenguang, Li Jie, Meng Qin

Coal Geology & Exploration

Inner Mongolia boasts abundant coalbed methane (CBM) resources in low-rank coals. Investigating the origin and accumulation mechanisms of CBM is crucial for the siting and assessment of these CBM resources. This study examined the CBM in low-rank coals in major gas-rich sags of the Erlian Basin through various experiments, including tests of the composition and carbon/hydrogen isotopes of CBM, as well as tests of the water quality, hydrogen/oxygen isotopes, and radioisotopes (³H and ¹⁴C) of coal seam water. By analyzing the geochemical characteristics of both CBM and coal seam water, this study revealed the origin, sources, and …

Outcomes And Implications Of Pilot Tests For Deep Coalbed Methane Production On The Eastern Margin Of The Ordos Basin, Nie Zhihong, Xu Fengyin, Shi Xiaosong, Xiong Xianyue, Song Wei, Zhang Lei, Liu Ying, Sun Wei, Feng Yanqing, Liu Shirui, Yan Xia, Sun Xiaoyi, Wu Mansheng

Coal Geology & Exploration

Breakthroughs in the exploration and production of deep coalbed methane (CBM) in the Daning-Jixian block on the eastern margin of the Ordos Basin exert a profound influence on the CBM industry, arousing extensive concern and follow-up. Although previous studies delved into the theoretical and technical challenges and corresponding solutions of deep CBM exploration and production, there is a lack a systematic summary of pilot tests for typical gas field exploitation. Through an in-depth dissection of the geological characteristics and challenges of cost-effective production of deep CBM, this study summarized the advances and outcomes of the pilot test projects in the …

Multi-Round Diverting Fracturing Technology And Its Application In Deep Coalbed Methane In The Daning-Jixian Block, Xiong Xianyue, Zhen Huaibin, Li Shuguang, Wang Hongna, Zhang Lei, Song Wei, Lin Hai, Xu Fengyin, Li Zhongbai, Zhu Weiping, Wang Chengwang, Chen Gaojie

Coal Geology & Exploration

The Daning-Jixian block on the eastern margin of the Ordos Basin exhibits high-abundance deep coalbed methane (CBM) resources, well-developed natural fractures of coal reservoirs, well-developed cleats and fractures in coals themselves, coals with excellent structures and high mechanical strength, and strong sealing ability of coal roofs and floors. All these create favorable conditions for the formation of a large-scale fracture network through volume fracturing. The ultra-large-scale fracturing process has contributed to a major breakthrough in the single-well output of deep CBM. However, the tracer monitoring results show that various fracturing stages of horizontal wells exhibited different contribution rates to gas …

Dietary Adherence And Cognitive Performance In Older Adults By Nativity Status: Results From The National Health And Nutrition Examination Survey (Nhanes), 2011–2014, Md Towfiqul Alam, Elizabeth Vásquez, Jennifer L. Etnier, Sandra Echeverria

Department of Health Sciences - Faculty Scholarship

Although adherence to dietary guidelines is associated with better cognitive performance, there may be differences by nativity status. This study aimed to investigate the association between adherence to the healthy eating index (HEI) and cognitive performance (CP) among United States (US)-born and foreign-born older adults (60+ years). Data were obtained from the 2011–2014 NHANES (n = 3065). Dietary adherence was assessed with HEI quintiles. CP (adequate vs. low) was examined using word listing (CERAD), animal naming (AFT), and the digit symbol substitution test (DSST). Weighted multivariable logistic regressions were used to examine associations. The US-born participants in higher dietary quintiles …

Elizabeth Morgan, Piano, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.

Diagnostic And Therapeutic Challenge: A Case Of Right Ventricular Thrombus, Angad Bedi, Muhammad Sabri, Prerana Sevella, Hussam Al Hennawi, Gregory Pirolli

Abington Jefferson Health Papers

Right ventricular thrombus is a rare finding found in 4% of people diagnosed with pulmonary embolism. Although right ventricular thrombi are usually associated with atrial fibrillation, deep venous vein thrombi, or intracardiac procedures, isolated right ventricular thrombi are rare. Right ventricular thrombus has also been reported in patients with right ventricular infarction, as hypokinesis of the right ventricle causes blood stasis and promotes thrombosis as per Virchow’s triad. However, we present a case of isolated RV thrombus in a patient without evidence of deep vein thrombosis or right ventricular hypokinesis who presented with dyspnea on exertion.

Identifying Critical Employability Skills For Employment Success Of Autistic Individuals: A Content Analysis Of Job Postings, Amy Jane Griffiths, Amy E. Hurley-Hanson, Cristina M. Giannantonio, Angel Miles Nash, Wallace Walrod, Petersen Walrod, Rachel Torres, Raquel Delgado

Education Faculty Articles and Research

This study aimed to examine the literature on the skill sets of autistic individuals and determine how these skills align with current and projected future labour market needs. Based on a literature review, researchers identified the following skill categories common to autistic individuals: visual skills, attention to detail and systemizing composite skills. Researchers then gathered aggregated data on occupations and industries from over 90 state and federal sources in the United States. Next, they collected data on the most in-demand jobs, their industries and relevant skills by analysing hundreds of millions of online job postings. The results indicate the most …

Cardozo Aelj’S Spring 2024 Symposium Explores The Implications Of The Warhol And Bad Spaniels Decisions On Copyright And Trademark Law, Cardozo Arts & Entertainment Law Journal

Cardozo Arts & Entertainment Law Journal (AELJ) Blog

Thank you to everyone who attended and participated in the Cardozo Arts & Entertainment Law Journal’s spring symposium, “Barking Up the Wrong Tree: An Exploration of Intellectual Property Law Protections Following Bad Spaniels and Andy Warhol.” AELJ is proud to have hosted such a successful event, highlighting a range of thoughtful and engaging scholarship.

This post was originally published on the Cardozo Arts & Entertainment Law Journal website on February 25, 2024. The original post can be accessed via the Archived Link button above.

Hybrid Framework To Exclude Similar And Faulty Test Cases In Regression Testing, Muhammad Asim Siddique, Wan M.N. Wan-Kadir, Johanna Ahmad, Noraini Ibrahim

Baghdad Science Journal

Regression testing is a crucial phase in the software development lifecycle that makes sure that new changes/updates in the software system don’t introduce defects or don’t affect adversely the existing functionalities. However, as the software systems grow in complexity, the number of test cases in regression suite can become large which results into more testing time and resource consumption. In addition, the presence of redundant & faulty test cases may affect the efficiency of the regression testing process. Therefore, this paper presents a new Hybrid Framework to Exclude Similar & Faulty Test Cases in Regression Testing (ETCPM) that utilizes automated …

Oil Spill Classification Based On Satellite Image Using Deep Learning Techniques, Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

Baghdad Science Journal

An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using …

Research On Emotion Classification Based On Multi-Modal Fusion, Zhihua Xiang, Nor Haizan Mohamed Radzi, Haslina Hashim

Baghdad Science Journal

Nowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data ,the multi-modal data always contains massive information. The mining process of multi-modal information can help computers to better understand human emotional characteristics. However, because the multi-modal data show obvious dynamic time series features, it is necessary to solve the dynamic correlation problem within a single mode and between different modes in the same application scene during …

Exploring Important Factors In Predicting Heart Disease Based On Ensemble- Extra Feature Selection Approach, Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, Ahmad Najmi Amerhaider Nuar, Zuriahati Mohd Yunos, Carolyn Salimun

Baghdad Science Journal

Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based …

Containerized Event-Driven Microservice Architecture, Siti Zulaikha Mohd Zuki, Radziah Mohamad, Nor Azizah Saadon

Baghdad Science Journal

Microservice architecture offers many advantages, especially for business applications, due to its flexibility, expandability, and loosely coupled structure for ease of maintenance. However, there are several disadvantages that stem from the features of microservices, such as the fact that microservices are independent in nature can hinder meaningful communication and make data synchronization more challenging. This paper addresses the issues by proposing a containerized microservices in an asynchronous event-driven architecture. This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. Experiment results show …

Early Diagnose Alzheimer's Disease By Convolution Neural Network-Based Histogram Features Extracting And Canny Edge, Karrar A. Kadhim, Farhan Mohamed, Fallah H Najjar, Ghalib Ahmed Salman

Baghdad Science Journal

Alzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that were used to detect and classify a medical image because of the ability of deep Learning to extract the features of images automatically. However, there are still limitations to using deep learning to accurately classify medical images because extracting the fine edges of medical images is sometimes considered difficult, and some distortion in the images. Therefore, this research aims to develop …

Hybrid Cnn-Based Recommendation System, Muhammad Alrashidi, Roliana Ibrahim, Ali Selamat

Baghdad Science Journal

Recommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success in providing item suggestions, they still face many challenges, including the cold start problem and data sparsity. Numerous recommendation models have been created in order to address these difficulties. Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. The ConvFM model is a novel convolutional neural network architecture that combines the capabilities of deep learning for feature extraction with the effectiveness …

Qin Seal Script Character Recognition With Fuzzy And Incomplete Information, Yun Ou, Zhen-Jie Zhou, Di-Wen Kang, Pan Zhou, Xue-Wei Liu

Baghdad Science Journal

The dependable and efficient identification of Qin seal script characters is pivotal in the discovery, preservation, and inheritance of the distinctive cultural values embodied by these artifacts. This paper uses image histograms of oriented gradients (HOG) features and an SVM model to discuss a character recognition model for identifying partial and blurred Qin seal script characters. The model achieves accurate recognition on a small, imbalanced dataset. Firstly, a dataset of Qin seal script image samples is established, and Gaussian filtering is employed to remove image noise. Subsequently, the gamma transformation algorithm adjusts the image brightness and enhances the contrast between …

Simplified Novel Approach For Accurate Employee Churn Categorization Using Mcdm, De-Pareto Principle Approach, And Machine Learning, Faisal Bin Al Abid, Aryati Binti Bakri, Md. Golam Rabiul Alam, Jia Uddin, Shefayatuj Johara Chowdhury

Baghdad Science Journal

Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE …

Exploring The Actual Implementation Of E-Wallet Application In Malaysia, Jia Yee Yeh, Choon Sen Seah, Yin Xia Loh, Mei Peng Low, Ahmad Najmi Amerhaider Nuar, Farah Waheeda Jalaludin

Baghdad Science Journal

E-wallet, also referred to as digital wallet, is a software application designed to replace physical wallets, with the primary purpose of facilitating online transactions when users wish to make virtual payments. Nowadays, E-wallets are not limited to mobile applications, but they have also been extended to wearable devices, such as smartwatches, enabling users to make payments via their watches. This research study focuses on three main E-wallet service providers in Malaysia, namely TouchNGo E-wallet, Boost, and Grab pay, as they are the top three E-wallets in the country. The aim of this paper is to explore the real-world implementation of …

The Optimization Of A Natural Language Processing Approach For The Automatic Detection Of Alzheimer’S Disease Using Gpt Embeddings, Benjamin S. Runde, Ajit Alapati, Nicolas G. Bazan

School of Medicine Faculty Publications

The development of noninvasive and cost-effective methods of detecting Alzheimer’s disease (AD) is essential for its early prevention and mitigation. We optimize the detection of AD using natural language processing (NLP) of spontaneous speech through the use of audio enhancement techniques and novel transcription methodologies. Specifically, we utilized Boll Spectral Subtraction to improve audio fidelity and created transcriptions using state-of-the-art AI services—locally-based Wav2Vec and Whisper, alongside cloud-based IBM Cloud and Rev AI—evaluating their performance against traditional manual transcription methods. Support Vector Machine (SVM) classifiers were then trained and tested using GPT-based embeddings of transcriptions. Our findings revealed that AI-based transcriptions …