bluuebunny/crossref_metadata_2025_split huggingface dataset:
The goals of land use optimization in Russia
Authors: Kiryushin V. I. 
Published: October 2023

The land reform of the 1990s created certain economic and environmental prerequisites for efficient land use. However, they are not implemented due to the complete liberalization of the market and the disengagement of the State from land management, the termination of state land administration. Adjustment of the economic course and strategic planning are considered as the initial condition for land use rationalization and further transformations. As a planning tool, it is proposed to implement regional models of agro-industrial production in development of previously used agricultural management systems based on the development of regional GIS for agroecological land assessment and projecting of adaptive landscape farming systems in M 1 : 100 000. For this purpose, a system of integrated land assessment has been developed, and the experience of land administration projecting, landscape planning, and projecting of adaptive landscape farming systems has been generalized. On the basis of its integration, it is planned to develop new land administration on a landscape basis, and, subsequently, agricultural landscapes projecting.
Managed Pressure Drilling for Highly Depleted HPHT Reservoir with Potential Depletion More Than 600 Bar – Kvitebjørn Field Experience
Authors: Paulus Steven Leonardus , Murray Ross , Molde Dag Ove , Hammer Raymond 
Published: October 2023

Abstract
Kvitebjørn is a gas and condensate field in the Norwegian sector of the North Sea which was discovered in 1994. Kvitebjørn produces from Middle Jurassic sandstone in the Brent Group with secondary reservoirs on the Lower Jurassic Cook formation and Upper Triassic Statfjord group. The reservoirs lie at a depth of 4000 mTVD-RKB (meter True Vertical Depth – Rotary Kelly Bushing) with initial HPHT (High Pressure High Temperature) conditions.
Due to production, the reservoir pressure has depleted significantly which has resulted in large reduction of formation strength (fracture gradient) in the depleted sands. The subsurface challenge is the pressure uncertainty spanning from full depletion to initial pressure. Depletion and initial pressure existed within the Brent group reservoir, resulting in no drilling window. The use of MPD-RAS-TTRD (Managed Pressure Drilling – Rig Assist Snubbing - Through Tubing Rotary Drilling) with WSM (Wellbore Strengthening Materials) and customized BHA (bottom hole assembly) were used to ensure 2x barriers could be always maintained if losses and crossflow observed (loss of fluid as primary barrier) while drilling and completing Brent reservoir. In this setup, the upper completion and production packer is installed prior to drilling the reservoir section. It allows stripping in and out of the hole with the BHA in a loss / crossflow event.
The MPD-RAS-TTRD experience provided better understanding of risk and consequences when drilling the Kvitebjørn depleted reservoir. The improved understanding was used to evaluate a different drilling strategy to access the deeper Statfjord group reservoir targets by utilizing MPD, WSM and customized BHA, without the RAS-TTRD.
This paper serves as an experience sharing of drilling strategies which enables a stepwise approach in understanding the risk of drilling highly depleted HPHT reservoirs. Showcasing drilling opportunities and risk in mature HPHT fields with complex subsurface and severe depletion challenges with a combination of depleted pressure below 300 bar / 4351 psi and initial pressure of 775 bar / 11240 psi. To date, the highest differential pressure between wellbore and formation that had been documented were 540 bar / 7832 psi, measured with Formation Pressure While Drilling (FPWD) tool; 660 bar / 9572 psi estimated based on nearby well data because the depleted pore pressure is lower than the maximum drawdown of the FPWD tool. Therefore, it can't be measured.
MPD Approach to Completion String Design and Run Enabled Operator to Successfully Complete Wells in Highly-Unstable Formations Offshore West Africa
Authors: Borges S. , Al-Hashmy W. 
Published: October 2023

Abstract
Extending the MPD engineering analysis into lower-completion string designs in addition to the MPD approach during drilling operations has proven critical in mitigating operational challenges in a multi-well campaign offshore Ivory Coast. This location is known for depleted reservoirs and highly unstable formations which result in tripping, casing and completions runs to be very challenging when using a conventional approach.
The use of MPD concepts, techniques and equipment allowed for the prediction of maximum tripping speeds and expected bottomhole pressures by conducting detailed surge analyses before designing and running the lower-completions string. Rigorous hydraulic simulations were run, detailing lower-completions string assemblies with over 200 components as well as incorporating open hole caliper logs to model well pressure outcomes as accurately as possible. These results were critical in facilitating the decision-making of completion string designs and their running parameters. Additionally, the wells were drilled with a combination of a lower mud density and MPD equipment which contributed to a well-defined drilling pressure window.
This novel approach of MPD incorporation into completions design was implemented in four wells successfully, has saved cost and time, and with zero non-productive time compared to wells where an MPD approach was not used to design and run completion strings, and proven key to successfully drill and complete wells in the region.
Benefits of Continuous Circulation Technology Focusing on Non-Productive Time (NPT) Reduction in Offshore Drilling Operations
Authors: Ciuca A. , Pollini E. M. , Gibilterra V. , Poletti N. , Vieira L. Pinto , Orlando L. , Salicante P. 
Published: October 2023

Abstract
Proved advantages of continuous circulation are the improvements on hole cleaning and solids transport. Maintaining constant bottomhole pressure, stuck pipe incidents and ballooning effects are reduced and formation with narrow margin between pore and fracture pressure are drillable.
Focus of the study is the time evaluation and comparison between offshore wells drilled with standard methods and applying continuous circulation technique, to highlight the Non-Productive Time (NPT) reduction.
Starting point are data of NPT and total duration for offshore activities related to intermediate and production phases, performed between 2018 and 2022. The Integrated Drilling Data Discovery (ID3) system is the software used for retrieving the data.
The classes of NPT selected for the analysis are related to the effect of the usage of continuous circulation devices on wellbore conditions and on geological problems, such as fluid influx, sticking, circulation losses.
The additional benefits highlighted by the study are that the wide application of continuous circulation on offshore operations leads to improve safety and wellbore quality, whilst decreases the NPT and improves the results in term of Time and Cost saving.
The considered amount of data regarding several well configurations, from different geographical areas, targeting different geological environments, provides a reliable outcome that suggests investigating potential further applications.
Class II Saltwater Disposal Well Completions in Open and Cased Hole: Which is Better and why?
Authors: Myers R. R. , Jacot R. H. 
Published: October 2023

Abstract
The scope of this paper is to use publicly and privately sourced data to compare openhole versus cased hole completion techniques and injection results in select Ohio Class II saltwater injection wells (SWIW). The vast majority of the SWIWs drilled in Ohio the past 10 years have been completed openhole, typically by drilling to total depth and then carefully selecting a large diameter greater than 7-inch casing shoe depth and cementing casing above the Cambrian-Ordovician age reservoirs. That allows for 1,000 feet plus of openhole and multiple targets for injection. There have been successful cased hole completions. Cased hole completions open the door to an operator’s ability to stimulate multiple injection zones more effectively than in an openhole using a non-selective stimulation of a long interval.
A large public oil & gas well database was used to gather data for an ‘area of interest’. A private company offered greater operational details and testing information to assist in the evaluation of which completion technique is most effective for large volume fluid injection. Hall Plots were generated to compare openhole and cased hole SWIWs, but will not be the focus of this paper. A review of physical reservoir properties and fracture modeling were used to estimate three-dimensional stimulation or frac geometries and to approximate radial or linear saltwater travel over the life of a disposal well.
This paper will attempt to answer several questions. Was the result of the cased hole completion better than previous offset well’s openhole completion. How could results be improved over what procedures were done? What was the pressure response of the openhole and cased hole injections following stimulation? Finally, a comparison of well costs and economics was done to evaluate and make recommendations about improving injectivity, and when to consider remedial treatments.
Characterization and Learnings of Far Field Fracture Propagation in the Marcellus Shale Using Aggregated LF-DAS Datasets
Authors: Roberts N. , Van Buskirk P. , Murphy D. , Byrd D. 
Published: October 2023

Abstract
Economic optimal recovery of hydrocarbons from unconventional reservoirs requires consistent and sufficient stimulation energy across an entire drill spacing unit (DSU), both along laterals and between them. This necessitates an understanding of how and why fractures propagate away from the treatment well. While legacy methods such as Distributed Acoustic and Temperature Surveys (DAS/DTS), pressure responses, logging/imaging has allowed us to investigate the point of stimulation origination, analyzing Low Frequency Distributed Acoustic Sensing (LF-DAS) gives us unique insights into far field fracture behavior. This paper aggregates several existing LF-DAS datasets in the Marcellus as well as the most representative log data available to draw conclusions on the impacts of geology, completion test parameters, stage and well frac order, frac design and materials, lateral placement, and many other influence factors on far field fracture behavior. Both statistical analysis and data visualization of these datasets independently and in aggregate was used to identify numeric as well as engineer-based observations and conclusions. By using these two methods, correlations between influence factors and far field fracture behavior are identified and quantified, and a level of variability is demonstrated for the Marcellus as well as some specific sub-plays. The analysis presented identifies controllable parameters to adjust as well as uncontrollable parameters that must be designed around to achieve stimulation goals. Also included is a description of where additional data collection is required to improve certainty and robustness of the analysis. Aggregated analysis on cross well far field fracture behavior has not previously been performed for Marcellus. This paper displays multi-project trends that were previously unidentified allowing the opportunity to design future tests around and confirm or challenge existing theories and conclusions. Previously non discussed fracture behaviors in the dataset are also described and addressed.
Hydraulic Fracturing Fluid Optimization Using Machine Learning Approach: A Case Study of Marcellus Shale
Authors: Johar A. , Fathi E. , Adenan M. F. , Belyadi F. 
Published: October 2023

Abstract
Friction reducer (FR) is a chemical additive utilized in hydraulic fracturing operations to minimize friction between the fracturing fluid and the wellbore walls. Its purpose is to overcome tubular drag during high-flow-rate pumping in stimulation treatments. In recent years, there has been a growing preference in the oil and gas industry for high viscosity friction reducers (HVFRs) in fracturing fluids due to their operational and economic benefits. While slick water fracturing fluids contain low concentrations of friction reducers, the concentration of FR used in shale gas reservoirs typically ranges from 0.5 to 2.0 gallons per thousand gallons (gpt). However, the optimal FR concentration for each stage has not been extensively studied. As a result, many oil and gas companies tend to use higher FR concentrations than necessary as a precautionary measure to achieve the desired injection rate and prevent screen out. Unfortunately, this practice leads to excessive FR usage during stimulation treatments, resulting in significant economic losses.
The primary objective of this study is to gain a comprehensive understanding of the performance of the Hydraulic Fracturing Friction Reducer used in the completion of six horizontal Marcellus Shale wells. To achieve this, the data collected from wells drilled and completed in Marcellus Shale Energy and Environment Laboratory (MSEEL) project (Boggess pad) with over 340 hydraulic fracturing stages will be evaluated using different Machine Learning (ML) techniques. This study was conducted in three phases, employing a range of machine learning techniques to develop the optimal model for predicting surface treating pressure during hydraulic fracturing and use that to optimize the FR concentration. In phase 1, utilizing data from stage 1 of Boggess 1H, XGBoost emerged as the best-performing model, demonstrating high accuracy in predicting surface treating pressure. In phase 2, when deploying the same model on all other stages of Boggess 1H, promising results were observed. However, phase 3 revealed that extending the model to other adjacent wells resulted in unsatisfactory results, highlighting the necessity for new and distinct models tailored to each individual well.
Laboratory Investigation of Regained Rock Permeability Using High Viscosity Friction Reducer in Comparison to Linear Guar Fracture Fluids
Authors: Biheri Ghith , Imqam Abdulmohsin 
Published: October 2023

Abstract
Hydraulic fracturing is a method employed for extracting oil and gas from unconventional reservoirs by pumping a mixture of water, sand, and additives into the reservoirs to fracture oil formations. A high viscosity friction reducer (HVFR) based on polyacrylamide is a popular chemical that has been employed recently during hydraulic fracturing treatments to help transport proppant and to reduce friction. However, the use of HVFRs at high concentrations, especially in regions with high concentration levels of total dissolved solids (TDS), has raised concerns over the possibility of formation damage. In this research, a new type of HVFR was investigated for its capacity to damage a formation utilizing various total dissolved solids (TDS) concentrations of Marcellus produced water (i.e., 22.9k [10%], 114.5k [50%] and 229k ppm [100%]) at a reservoir temperature of 65.5°C (150°F). The effect of the HVFR on the formation damage was assessed using various HVFR concentrations (i.e., 2, 4, and 8 gpt). For comparison, linear guar was utilized at different concentrations (i.e., 15, 25, and 35 ppt) under identical conditions. In addition, the study investigated the efficacy of several breaker types (i.e., ammonium persulfate [APS], sodium bromate [SB], and sodium persulfate [SPS]) in eliminating fracture fluid and reducing formation damage. This study aimed to optimize the design of hydraulic fracturing operations by evaluating the potential for formation damage caused by a high viscosity friction reducer (HVFR) and analyzing the ability of different breaker types to remove the HVFR after its use.
The impact of DNA methylation as a factor of Adverse Pregnancy and Birth Outcomes (APBOs): A Systematic review protocol.
Authors: Moagi Innocent , Mabasa Lawrence , Maputle Sonto Maria , Ndwandwe Duduzile , Raliphaswa Ndidzulafhi Selina , Netshikweta Lizzy Mutshinyalo , Malwela Thivhulawi , Samie Amidou 
Published: October 2023

Abstract
Background
Deoxyribonucleic acid (DNA) methylation is one the epigenetic modifications which has gain a lot of interest as a factor influencing fetal programming and as a biomarker for adverse pregnancy and birth outcomes (APBOs). Epidemiological studies have demonstrated that DNA methylation can result in adverse pregnancy and birth outcomes (APBOs) including miscarriage, intrauterine growth restriction (IUGR), low birth weight (LBW), sepsis as well as preterm birth (PB), which may later result in diseases in adulthood. However, the mechanism at which DNA methylation influences these APBOs remain unclear. The systematic review will assess the association between global and gene specific DNA methylation with adverse pregnancy outcomes.
Method
The Preferred Reporting Items for Systematic review and Meta-Analysis Protocol (PRISMA-P) 2015 checklist will be followed when conducting this systematic review. To develop the search strategy the PECOS (population, exposure, comparator/control, outcome, and study designs) framework will be followed. A systematic search will be conducted on electronic databases such as Cochrane library, PubMed, as well as MEDLINE. For identification of unpublished studies in journals indexed in electronic databases, Google Scholar will be used. Two reviewers will separately extract data from the articles and screen them, if there are any disagreements between reviewer one and two, then the third reviewer will resolve them. The methodological quality and bias risk of the included studies will be evaluated using Critical Appraisal Skill Programme CASP) checklist. \({I}^{2}\) and \({X}^{2}\) alpha = 0.10 statistic will be used for assessing statistical heterogeneity between studies. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach will be used to assess and grade the overall quality of extracted data.
Discussion
The systematic review will assess available literature on possible associations between DNA methylation with adverse pregnancy and birth outcomes (APBOs) including LBW, IUGR, miscarriage, sepsis and PB. The findings could help guide future research assessing DNA methylation and other APBOs.
PROSPERO registration number: CRD42022370647
Crop yield prediction using deep learning algorithm based on CNN-LSTM with Attention Layer and Skip Connection
Authors: Dharwadkar Nagaraj V , Kalmani Vijay H. , Thapa Vijay 
Published: October 2023

Abstract

Accurate prediction of crop production is of utmost importance in the agricultural sector, as it allows farmers and decision-makers to plan and optimize their resources effectively. Numerous factors, including weather conditions, soil moisture, and temperature, have a direct impact on crop yield. To address this challenge, this paper proposes a hybrid model that combines 1D CNN and LSTMwith an attention layer, aiming to provide precise crop production forecasting. The study targets on the prediction of two frequently cultivated crops in India, namely wheat and rice. These crops were chosen due to their significant contribution to the agricultural landscape of the country. Different modification were donein CNN-LSTM to achieve the higher accuracy and at last CNN-LSTM multi-head attention with multiplication skip connection was modified. The suggested hybrid model was compared to conventional machine learning methods in order to assess its efficiency, including Support Vector Regressor, Decision Tree Regressor, and Random Forest Regressor. The experiments’ findings illustrate how the modified hybrid model outperforms other models and previous studies, achieving impressive performance metrics. The RMSE value of 0.017 indicates the small margin of error in the predicted crop production. The MAE value of 0.09 further emphasizes the accuracy of the model’s predictions. Additionally, the achieved R2 value of 0.967 signifies a high level of correlation between the predicted and actual crop production
Personalized Functional Network Mapping for Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder
Authors: Wang Jiaojian , Zhang Jiang , Zhang Zhiwei , Qin Tianwei , Yu Xiaohui , Su Jing , Ma Yingzi , Yang Jia , Chen Kexuan , Zhao Tianyu , Zhang Jingyue , Chu Congying 
Published: October 2023

Abstract
Autism spectrum disorder (ASD) and Attention-deficit/hyperactivity disorder (ADHD) are two typical neurodevelopmental disorders having a long-term impact on physical and mental health. ASD is usually comorbid with ADHD and thus shares highly overlapping clinical symptoms. Delineating the share and distinct neurophysiological profiles is important to uncover the neurobiological mechanisms to guide better therapy. In this study, we aimed to establish the behaviors, functional connectome, and network properties differences between ASD, ADHD-Combined, and ADHD-Inattentive using resting-state functional magnetic resonance imaging. We used non-negative matrix fraction method to define personalized large-scale functional networks for each participant. The individual large-scale functional network connectivity (FNC) and graph-theory based complex network analyses were executed and identified shared and disorder-specific differences in FNCs and network attributes. In addition, edge-wise functional connectivity analysis revealed abnormal edge co-fluctuation amplitude and number of transitions among different groups. Taken together, our study revealed disorder-specific and -shared regional and edge-wise functional connectivity and network differences for ASD and ADHD using individual-level functional network mapping approach, which provides new evidence for the brain functional abnormalities in ASD and ADHD and facilitate understanding the neurobiological basis for both disorders.
Topological state transitions in electromagnetic topological defects
Authors: Shi Peng , Gou Xinxin , Zhang Qiang , Yuan Xiaocong 
Published: October 2023

Abstract
The recent emergence of electromagnetic topological defects has attracted wide interest in fields from topological photonics to deep-subwavelength light-mater interactions. Previously, much of the research has focused on constructing specific topological defects but the fundamental theory describing the physical mechanisms underlying their formation and transitions is lacking. Here, we present a spin–orbit coupling based theory describing such mechanisms for various configurations of spin topological defects in confined electromagnetic fields. The results reveal that their formation originates from the conservation of total angular momentum and that their transitions are determined by anisotropic spin–orbit couplings. By engineering the spin–orbit couplings, we observe the formation and transitions of Neél-type, twisted-type, and Bloch-type spin topological defects in confined electromagnetic fields. A stable Block-type spin topological defect is reported for the first time. Our theory can also describe the transitions of field topological defects. The findings enrich the portfolio of electromagnetic topological defects, deepen our understanding of conserved laws, spin–orbit couplings and transitions of topological defects in confined electromagnetic systems, and predict applications in high-density optical data transmissions and chiral quantum optics.