bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drilling Optimization of Deep Geothermal Well Using Geomechanical Modeling- A Case Study of MIP 1S Well Morgantown West Virginia
Authors: Heidari B. , Fathi E. , Dongho G. Liwuitekong , Carr T. , Panetta B. 
Published: October 2024

Abstract
The proposed paper endeavors to assess the geological and geomechanical characteristics of the geothermal deep direct-use MIP 1S well, which was drilled and completed in the Appalachian basin. This evaluation is critical for streamlining drilling processes, analyzing wellbore stability, and gauging the potential for heat extraction and storage in both deep and shallow formations, respectively. To achieve this objective, a comprehensive suite of well logs is employed, supplemented by sidewall core analysis and adjacent well injection tests. The assessment encompasses the determination of continuous elastic and rock strength properties, including Young's modulus, Poisson's ratio, friction angle, unconfined compressive strength, and tensile strength. These properties are derived utilizing advanced correlations from open-hole logs, coupled with calibration against available sidewall core lab results. Subsequently, stress and pore pressure profiling are conducted, involving the calculation of overburden stress, pore pressure profiles, and magnitudes of minimum and maximum horizontal stresses, based on poroelastic equations. These calculations are further refined through calibration with direct diagnostic fracture injection tests conducted in adjacent wells. Additionally, stress directions inferred from formation image logs are compared against the fast and slow shear azimuth direction, which is determined from dipole sonic tool data. The conclusion of these efforts results in the development of a validated 1D-geomechanical model. This model undergoes analysis through wellbore stability assessments and comparisons with drilling events, such as stuck pipe occurrences, pack-offs, and cavings, as well as borehole features including image logs and multi-arm caliper data.
The 1D-geomechanical model demonstrates a high degree of agreement with wellbore observations, revealing suboptimal execution of drilling practices, particularly utilizing mist air drilling up to a depth of 8868 feet. This suboptimal execution has led to significant wellbore breakout in both shallow and intermediate sections of the well. Consequently, the wellbore diameter has been excessively widened, exceeding 4 inches from the planned 12 ¼-inch diameter to over 16 inches. Such deviations could potentially provoke significant challenges related to cementing, open-hole log data accuracy, and wellbore stability.
Realtime Application of Early Kick and Loss Detection (EKLD) for the Entire Drilling Operation
Authors: Zhang Shang , Samuel Robello 
Published: October 2024

Abstract
In drilling operations, deploying a real-time monitoring and detection model to identify early kick and loss events is essential for ensuring safety and achieving operational success. The model presented has the capability to accurately recognize various phases of the drilling process—such as active drilling, tripping in, reaming, and tripping out—from the available real-time data. Furthermore, the system must detect kick/loss events across all phases accordingly, providing operators with meaningful and reliable results. Using a smart drilling phase detection algorithm in real-time, then applying unique early kick/loss detection according to the drilling activity to achieve EKLD for the entire drilling operation. Additionally, the monitoring system is designed to address the challenge of performing complex calculations in real time, ensuring that there is no lag in the system's responsiveness. The model was validated and evaluated using real-time drilling data directly from the rig in real-time, covering the entirety of drilling operations. Field testing demonstrated its effectiveness in detecting both kick and lost circulation events across all phases of drilling, applicable especially for real-time monitoring. A comprehensive performance comparison with traditional kick detection models was conducted. This comparison shows that the model is more suitable for all phases of drilling activities, by having its unique detection and validation algorithms tailored for each activity. In conclusion, the model stands out for its ability to effectively detect kicks and losses throughout the entire drilling operation, across various drilling phases, as well as its capability to process all data in real time. The model presented in this paper represents one of the first advanced systems capable of processing real-world drilling data for the entire drilling operation. It achieves accurate and timely detection of early kicks and losses in real-time while minimizing false alarms.
Technical Evaluation of Portland-Limestone Cement as a Replacement for Ordinary Portland Cement
Authors: Winegarden J. , Solomon M. , Gebrekirstos A. , Conkey J. , Kakadjian S. 
Published: October 2024

Abstract
Portland -Limestone Cement (PLC) is becoming increasingly prevalent as a replacement for Ordinary Portland Cement (OPC) in many industries as a method to reduce carbon dioxide emissions associated with its manufacture. The construction industry has led this charge, and the oilwell cementing industry is catching up, especially in the Northeast United States, where one major cement manufacturer has replaced their commercially available Class A oilwell cement with a Class L cement containing ground limestone as a major component. This paper expands on the conventional lab testing from previously published case studies by comparing performance of OPC vs. PLC in tests that are less commonly seen in oilfield cement lab but are vital to understanding PLC's ability to provide long-term zonal isolation.
The following four tests are performed on both OPC and PLC and their results are compared. Solubility in acid mine drainage water from a mine in Ohio, set cement expansion with various concentrations of light-burned magnesium oxide expansion agent, set cement permeability, and high temperature compressive strength testing are all performed. The high temperature compressive strength testing is performed at both 250 degrees Fahrenheit and 300 degrees Fahrenheit to compare each cement's susceptibility to strength retrogression, and the tests are also performed with the addition of silica to verify that the strength of the PLC is stabilized as it is with OPC. X-ray diffraction testing is also performed on all samples after seven days of curing to show the hydration products of both OPC and PLC, with and without silica, at elevated temperatures.
The comparative results show that PLC is an adequate sealing material in many cases where OPC is currently used. Solubility of OPC and PLC are both negligible in weak acid solutions, such as acid mine drainage water. Cement matrix permeability for samples cured at 150 °F is comparable between PLC and OPC. The response of PLC to the addition of post-set expansion additives is comparable to that of OPC. The temperature stability of PLC is comparable to OPC at 200 °F and 250 °F, but at 300 °F the PLC shows compressive strength degradation which is made worse by the addition of silica.
Integrated Geochemical Modeling for CO2 Sequestration in the San Juan Basin, New Mexico
Authors: Boison Paa Kwesi Ntaako , Ampomah William , Simmons Jason , Bui Dung 
Published: October 2024

Abstract
This paper aims to investigate the geochemical impact of CO2 storage in the San Juan Basin, particularly within the Entrada Sandstone formation. It focuses on examining the importance of interactions between injected CO2 and formation minerals and fluid, investigating mineral dissolution and precipitation, and the effect of these phenomena on rock properties.
In this study, a fully compositional reservoir simulator was utilized to simulate the coupled geochemical reactions and several other trapping processes that occur during CO2 injection into the Entrada formation of the San Juan Basin. Prior to the geochemical modeling, injection and pressure data from nearby saltwater disposal wells were used to history-match the hydrodynamic model. By fine-tuning the model against field data, the geological and petrophysical properties of the integrated model were calibrated, ensuring its predictive capability. The simulation integrated reactive transport modeling, which encompasses a broad spectrum of mineral interactions and equilibrium reactions essential for an accurate depiction of geochemical alterations.
The study examined the impact of CO2 injection on fluid and rock properties. Our findings revealed that the majority of injected CO2 maintains a supercritical state, closely followed by residual trapping, which emphasizes the dominance of structural trapping and hysteresis as the key mechanisms for CO2 sequestration. Mineral trapping, in contrast, contributes minimally. Notably, despite considerable precipitation of quartz and calcite, the dissolution of other minerals counteracts it, keeping the decrease in porosity under 0.1%. Changes in ion concentration in the fluid follow the dissolution/precipitation trend of the minerals.
This research provides detailed insights into the effects of CO2 sequestration on reservoir fluid dynamics, mineral compositions, and rock attributes within the San Juan Basin. It highlights the vital role of reservoir simulation in evaluating the long-term impact and efficacy of CO2 storage with a focus on geochemical interactions, contributing valuable knowledge to the field of carbon capture and storage.
Knowledge Augmented Intelligence Using Large Language Models for Advanced Data Analytics
Authors: Seow Ming-Jung , Qian Leren 
Published: October 2024

Abstract
Large language model (LLM) holds the potential to facilitate advanced data analysis within the realm of Oil and Gas (O&G) operations by delivering cutting-edge performance in Natural Language Processing (NLP) tasks such as data mining in text. In this paper, we propose a novel data-driven Artificial Intelligence Augmented Intelligence strategy with LLMs to facilitate the exploration of topics for causal machine learning to understand choices under considerations. State-of-the-art LLMs are finetuned, evaluated, benchmarked, and put into practical use to understand and monitor evolving narratives and perspectives over time for trends and quantitative analytics.
Experiments show that model performance is optimized through supervised fine-tuning based on domain specific data. Methods for evaluating the fine-tuning quality and assessing semantic relevance are introduced. Fine-tuned LLMs categorize topics in the target documents, while machine learning technics normalize guideline documents to establish a baseline for benchmarking. LLMs are efficient in processing vast volumes of industry-specific data and extracting valuable insights. In the O&G industry, LLMs have the potential to improve human intelligence via Knowledge Augment Intelligence through qualitative-to-quantitative analytics.
Glymphatic dysfunction evidenced by DTI-ALPS is related to obstructive sleep apnea intensity in newly diagnosed Parkinson’s disease
Authors: Nepozitek Jiri , Mareček Stanislav , Rottova Veronika , Dostalova Simona , Krajča Tomáš , Keller Jiri , Sonka Karel , Dušek Petr 
Published: October 2024

Abstract

Glymphatic dysfunction can contribute to Parkinson’s disease (PD). Obstructive sleep apnea (OSA) disturbs sleep, which is necessary for its proper function, and is frequent in PD. We investigated the glymphatic function in de novo PD and its relation to OSA. Fifty-four PD patients (mean age 58.9 ± 12.2 years) and 32 controls (mean age 59.4 ± 8.3 years) underwent polysomnography and 3T magnetic resonance imaging of the brain. Diffusion tensor imaging along the perivascular space (DTI-ALPS) was calculated using atlas-based automatic regions of interest selection. In PD ALPS-index negatively correlated with apnea-hypopnea index (rho=-0.41; p = 0.002), oxygen desaturation index (rho=-0.38; p = 0.006), sleep stage N1 (rho=-0.42; p = 0.002), and arousal index (rho=-0.24; p = 0.018), and positively correlated with sleep stage R (rho = 0.32; p = 0.023), while in controls no such correlations were observed. Glymphatic dysfunction is related to OSA severity in de novo PD but not in controls. We imply that OSA contributes to neurodegeneration via glymphatic impairment in PD.
Bending Mechanical Property and Multi-objective Optimization of Gradient Foam Aluminum Sandwich Panel Based On Stochastic Pore Model
Authors: Yang Kun , yao yuan , Sha Yunjie , Wang Yibo 
Published: October 2024

Abstract

Foam aluminum, as a new type of filling composite structure, has good energy absorption characteristics, it has good energy absorption characteristics. In this paper, the mechanical response and energy absorption characteristics of gradient foam aluminum sandwich panel under bending conditions are simulated and analyzed. The two-dimensional random distribution model of gradient foam aluminum was built by Digimat, and the feasibility and validity of the model were verified by comparing the compression simulation and quasi-static compression experiment results. Simulation of three-point bending of gradient foam aluminum sandwich panel under impact loading based on stochastic pore model, the bending mechanical property of gradient aluminum foam sandwich panel under impact loading were studied from the aspects of deformation mode and energy absorption performance. The results show that under the same impact displacement, the energy absorption effect of the gradient foam aluminum sandwich panel are obviously better than that of the homogeneous foam aluminum sandwich panel of the same quality. In order to further improve the crashworthiness of gradient foam aluminum sandwich panel, so that the pressure can be evenly distributed to other parts of the sandwich panel, the design point was selected by Latin hypercube sampling, and the response surface was constructed by simulation model. The optimal parameter matching design of gradient foam aluminum sandwich panel under bending condition was obtained by Moga algorithm.It provides some reference for the design and application of gradient foam aluminum sandwich panel in bending.
Pathways to Water Stewardship in Mining Regions: Promoting Processes for Integrated Water Resources Management in the Gobi Desert
Authors: Purevjav Bolormaa , Klein Bern , Dierkes Julian , Kunz Nadja , Xavier André , McFaul Suzette 
Published: October 2024

Abstract

The mining industry is an important sector that contributes to economic growth and employment creation in many developing countries, including in Mongolia. Water access, water quality, and community engagement in mining regions are among the major challenges faced by the Mongolian mining industry. Integrated Water Resource Management (IWRM) is a holistic water management approach that applies principles of economic efficiency, social equity, and environmental sustainability to ensure water sustainability. A research study was carried out to understand stakeholders’ views and perspectives on IWRM and to identify water use practices, challenges, and barriers in the Gobi Desert mining region. The aim of the goal was to identify processes that help to improve access to water in the Gobi Desert region. This research applied a qualitative approach and employed three data collection methods: 1) semi-structured interviews; and 2) field observations and 3) documents and academic articles reviews. Research participants were representatives from mining companies, local communities, government, and river basin administrations.
In the Gobi Desert region, processes contributing to improving water management are:
1) participatory water monitoring, 2) coal processing plant educational visits, 3) local stakeholders council’s meetings, 4) herder’s well improvement projects, 5) independent water auditing, and 6) water advocacy events.
Laparoscopic Single Anastomosis Duodeno-ileal Bypass versus One Anastomosis Gastric Bypass as Revisional Procedures after Sleeve Gastrectomy: Meta-analysis and Systematic Review
Authors: Ahmed Yusuf , Ataya Karim , Almubarak Isa , Ali Manar , Almubarak Abdulla , Yusuf Walaa , Simeonovski Stefan , Mahran Mostafa Mohammed Saad , Aljaafreh Almoutuz , Bourji Hussein El , Yang Wah 
Published: October 2024

Abstract

Introduction: It has been observed that 5-8% of primary bariatric procedures result in treatment failure, necessitating the need for revisional surgery. In this systematic review and meta-analysis, we aim to compare the effectiveness of single anastomosis duodeno-ileal bypass (SADI) and one anastomosis gastric bypass (OAGB) in addressing weight regain following sleeve gastrectomy.
Methods: We systematically searched PubMed, Scopus, Web of Science and Cochrane Central Register of Controlled Trials databases. Studies were considered eligible if they compared SADI with OAGB as revisional surgeries following sleeve gastrectomy.
Results: Our search strategy yielded 4 articles with a total of 309 patients. Regarding weight loss at 1 year of follow-up, SADI was favorable based on excess weight loss percentage (EWL%) and total weight loss percentage (TWL%). At 2 years of follow-up, EWL% did not show a statistically significant difference between the two operations although TWL% was higher in SADI group. Regarding postoperative bile reflux, the OAGB group had a significantly higher incidence of biliary reflux (OR 0.15; 95% CI 0.04 to 0.53; P = 0.003). Patients enrolled in SADI did not develop anastomotic ulcers according to the 4 studies included in the analysis. In contrast, 7 patients in the OAGB group did develop anastomotic ulcers, but the difference was not statistically significant (OR 0.23; 95% CI 0.05 to 1.10; P = 0.07).
Conclusion: SADI is a feasible procedure with a favorable outcome compared to OAGB as a revisional surgery following sleeve gastrectomy regarding weight loss at 1 year with a lower incidence of postoperative biliary reflux.
The Hidden Dangers: Uncovering Risk Factors for Neonatal Hypoglycemia in Assisted Reproductive Technology Babies
Authors: Nurgaliyeva Zhanar , Ilmuratova Sevara , Lokshin Vyacheslav , Manzhuova Lyazzat , Seisebayeva Roza 
Published: October 2024

Abstract

Background: 12 million children are born worldwide after assisted reproductive technologies (ART), but their health remains a significant area of research. Evidence suggests that neonatal hypoglycemia is more common among children conceived through ART. Our study aims to identify risk factors for neonatal hypoglycemia and the possibility of predicting it in ART-conceived children.
Methods: In our study, 120 children born after ART were involved. The participants met specific criteria, including being born from a successful ART program resulting in single or multiple pregnancies. Those born using donor oocytes/sperm, intrauterine insemination, or surrogacy were not included. Data for the anamnesis were gathered and analyzed using IBM SPSS Statistics 26.
Results: ART-conceived children were at greater risk of being born with neonatal hypoglycemia in cases of multiple pregnancies (OR=14.2; 95% CI: 1.71-117.67), isthmic-cervical insufficiency (OR=10.29; 95% CI: 1.47-71.98), premature birth (OR=13.39; 95% CI: 2.61-68.84), and uterine infertility (OR=10.29; 95% CI: 1.47-71.98). ART children had a higher incidence of neonatal hypoglycemia when they were late preterm (OR=16.95; 95% CI: 3.26-88), with fetal growth restriction (OR=13.38; 95% CI: 2.42-73.8), infantile asphyxia (OR=45; 95% CI: 7.86-257.64), congenital pneumonia (OR=16.96; 95% CI: 3.45-83.3), congenital infection (OR=18; 95% CI: 2.98-108.8), respiratory distress syndrome (OR=16.09; 95% CI: 3.6-72.03), and low or very low birth weight. A regression model that exhibited statistical significance encompassed late prematurity, neonatal asphyxia, congenital infection, and maternal hormone intake before pregnancy.
Conclusions: Our study on ART-conceived children highlighted significant risk factors for neonatal hypoglycemia Our developed prognostic model enables early intervention and preventive measures. These findings are valuable for healthcare providers working with ART-conceived children and can improve their care.
Trial registration: The protocol was registered on ClinicalTrials.gov (NCT01369355). Date of registration: October 18, 2023; date of enrollment of the first subject: October 23, 2023
Motivations, Perceptions and Impacts of Direct-to-Consumer Genetic Testing Among Users in Brazil
Authors: Penna Larissa Siqueira , Amemiya Raphael Bruno , Pires Thiago , Bonasser Larissa Sousa Silva , Carvalheira Leonardo , Fridman Cintia , Mingroni-Netto Regina Celia , Naslavsky Michel Satya , Filho Ricardo di Lazzaro 
Published: October 2024

Abstract

Purpose
Numerous studies have focused on direct-to-consumer genetic testing (DTC-GT), but little is known about non-North American or European consumers. Therefore, this study assesses the sociodemographic profile, motivations, and impacts of DTC-GT among Brazilian consumers.
Methods
DTC-GT costumers were invited to complete a 30-question online survey anonymously. Data analysis involved descriptive statistics and Chi-Square test, with significant findings analyzed using post-hoc and correspondence analysis.
Results
This study comprised 1513 Brazilian DTC-GT consumers with a mean age of 42 years old and mostly female (60.8%). Participants’ primary motivation for purchasing the test was to discover about their genetic predispositions to diseases (87.24%) followed by biogeographical ancestry (86.19%). While only a fraction of participants consulted healthcare professionals (18.44%), most felt confident in independently understanding the test results (66.89%), which was significantly associated with Health/Biological Sciences professional field (p < 0.001). Additionally, many customers felt glad (63.25%), and few felt worried (13.42%) post-results, especially regarding health outcomes. Lifestyle changes included dietary adjustments (38.66%), regular health check-ups (24.19%) and increased physical activity (16.46%). Overall, 63.98% of respondents reported altering habits following test results.
Conclusion
These findings contribute to understanding the motivations and impacts of DTC-GT among Brazilian consumers, indicating positive lifestyle changes and minimal negative psychological impacts.