Article
Environmental Sciences
Bolorchimeg N. Tunnell, James A. Conder, Ken B. Anderson, Marek Locmelis
Summary: Cycle-jumping model limits the overlap of multiple curves, providing a better fit for data and reflecting production profiles more realistically impacted by external factors.
NATURAL RESOURCE MODELING
(2021)
Article
Environmental Studies
Doruk Sen, K. Irem Hamurcuoglu, Melisa Z. Ersoy, K. M. Murat Tunc, M. Erdem Gunay
Summary: The aim of this study is to develop a machine learning model to predict the global annual natural gas production and determine its peak time. The model considers various factors such as GDP, inflation rate, price, and resource availability. Shapley analysis was used to determine the importance of these factors, and stochastic gradient descent (SGD) algorithm was found to be the best for prediction. The model was tested under different scenarios and predicted the peak production to occur between 2034 and 2046.
Article
Automation & Control Systems
Indrajeet Kumar, Bineet Kumar Tripathi, Anugrah Singh
Summary: Petroleum production forecasting involves predicting fluid production from wells using historical data. Traditional methods and conventional machine learning techniques are time-consuming and have limited forecasting power. In this study, we developed time-series forecast models based on an attention-based long short-term memory network, which outperforms other models for petroleum production forecasting.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Economics
Douglas B. Reynolds
Summary: Scarcity and growth analyses of energy involve predicting extraction rates of non-renewable resources and considering technological progress. Moore's (1965) Law of technological improvement and synthesis technological change are discussed. These trends are related to the U.S. shale oil extraction in the Lower 48 contiguous states, and the potential decline in production is analyzed. The implications include Catton's (1982) Age of Exuberance and Carrying Capacity drawdown.
Article
Virology
Gregory E. Glass
Summary: Hantaviral diseases are 'place diseases' tied to single host species. Forecasting outbreaks can be possible by identifying suitable habitats for reservoir populations and understanding the ecological drivers impacting population growth and viral host dispersal. Public health and medical education should be targeted in these regions.
Review
Energy & Fuels
Jinyuan Liu, Shouxi Wang, Nan Wei, Xi Chen, Hanyu Xie, Jie Wang
Summary: The paper reviews the history of natural gas consumption forecasting technology and categorizes it into different stages based on the characteristics of forecasting models used in each period. It identifies the fastest-growing forecasting horizon as short-term forecasting, mainly influenced by temperature variables, and the best models for long-term forecasting as time series models. Additionally, AI-based models show the best performance for medium-term and short-term forecasting.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Chong Ke, Xingyong Song
Summary: This paper presents a dynamics model for the down-hole directional drilling system based on a hybrid modeling method with model order reduction. By combining FEM and TMM, the order of the model can be significantly reduced, and a computationally efficient and high fidelity reduced-order hybrid model can be reached for real-time state estimation and control design. Simulation results prove that the method can effectively capture the dominant modes of the drilling dynamics.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2021)
Article
Thermodynamics
Mohamed Amine Ifticene, Keju Yan, Qingwang Yuan
Summary: This paper introduces an emerging technology for hydrogen production, which generates hydrogen directly from petroleum reservoirs through in-situ combustion gasification. By using hydrogen-selective membranes to separate pure hydrogen, this technology achieves zero carbon emissions. It shows promising potential for large-scale environmentally friendly hydrogen production and discusses the scientific challenges and key aspects of its application.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Environmental Sciences
Tugba Memisoglu Baykal, H. Ebru Colak, Cebrail Kilinc
Summary: Future-oriented forecasts play a crucial role in making forward-looking decisions and planning. This study used Geographic Information Systems (GIS) to produce predictive climate boundary maps for 13 selected provinces in Turkey, and made predictions about future climate changes using climate classification and time series methods. The study provides innovative analysis approaches that can contribute to various fields of research.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Biotechnology & Applied Microbiology
Pradeep Kumar, HyunA Park, Yong Yuk, Hayan Kim, Jihwan Jang, Raviteja Pagolu, SeoA Park, Chanseo Yeo, Kwon-Young Choi
Summary: 1,4-Butanediol (1,4-BDO) is an important industrial chemical that is currently produced through energy-intensive petrochemical processes, leading to issues such as non-renewability, environmental contamination, and high production costs. However, there has been a shift towards sustainable bioproduction of 1,4-BDO using microorganisms and advanced techniques like metabolic engineering and synthetic biology. This article discusses the current status, future prospects, and challenges associated with environmentally friendly and bio-based production strategies for 1,4-BDO.
CRITICAL REVIEWS IN BIOTECHNOLOGY
(2023)
Article
Engineering, Environmental
Yudong Li, Hao Lu, Yiqian Liu, Pinyi Dai, Huatong Zhu, Bei Zhang, Shaowei Peng, Yingheng Fan, Qiang Yang
Summary: Refinery wastewater, which is both voluminous and complex in composition, necessitates multi-stage treatment to meet discharge or reuse targets. Traditional pretreatment technologies using inclined plate settlement combined with two-stage air flotation for petroleum and suspension removal suffer from high energy and chemical consumption, as well as generation of significant amounts of hazardous waste. This study introduces a short-process physical pretreatment technology that employs combined fiber coalescer (CFC) and granular media filter (GMF). Pilot testing demonstrates that the treated refinery wastewater, without the addition of chemicals, becomes clear and translucent, with petroleum and suspended solids content reduced to below 20 mg/L, falling within the acceptable range of biochemical influent index. This process greatly reduces the generation and emission of scum and volatile organic compounds (VOCs), providing a new technique for low-carbon pretreatment of refinery wastewater.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Chemistry, Physical
Yusha Hu, Jigeng Li, Yi Man, Jingzheng Ren
Summary: Hydrogen energy is considered to be one of the most promising clean energy sources due to its high-grade energy and clean combustion. However, the production process is often unstable and inefficient. To address these issues, a dynamic hydrogen production yield forecasting model based on the Discrete Grey Method and Gradient Boosting Regression Tree has been proposed, which shows strong correlation with input data and provides reasonable forecasting results.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Sawsan A. Mahmoud, A. S. El-Tabei, Samar H. Bendary
Summary: Recycling of harmful environmental wastes from the petroleum industry is crucial. This study successfully synthesized SDBS anionic surfactant from petroleum waste and applied it in a photogalvanic cell to produce electricity. The cell performance was optimized under artificial illumination, proposing a preliminary mechanism for solar energy conversion.
JOURNAL OF MOLECULAR STRUCTURE
(2021)
Article
Agronomy
Pradeep Mishra, Abdullah Mohammad Ghazi Al Khatib, Iqra Sardar, Jamal Mohammed, Kadir Karakaya, Abhiram Dash, Monika Ray, Lakshmi Narsimhaiah, Anurag Dubey
Summary: Sugarcane plays a vital role in India's economy, with accurate forecasting models essential for decision-making. This study utilized the ARIMA method to model and predict sugarcane production data from 1950 to 2018, with forecast accuracy ranging from 0.046% to 0.197% based on the MAPE criterion. ARCH processes were identified in Karnataka, Tamil Nadu, and Uttar Pradesh, with no autocorrelation present in the analyzed data series.
Article
Mathematics
Danail D. Stratiev, Angel Dimitriev, Dicho Stratiev, Krassimir Atanassov
Summary: This paragraph introduces the use of a Generalized Net (GN) apparatus to model the production processes of refinery fuel gas, LPG, propylene, and polypropylene, and emphasizes the importance of this modeling in relation to the energy balance of petroleum refinery and greenhouse gas emissions.
Article
Geochemistry & Geophysics
Mitchell Barklage, Douglas A. Wiens, James A. Conder, Sara Pozgay, Hajime Shiobara, Hiroko Sugioka
GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
(2015)
Article
Multidisciplinary Sciences
S. Shawn Wei, Douglas A. Wiens, Yang Zha, Terry Plank, Spahr C. Webb, Donna K. Blackman, Robert A. Dunn, James A. Conder
Article
Geochemistry & Geophysics
S. Shawn Wei, Yang Zha, Weisen Shen, Douglas A. Wiens, James A. Conder, Spahr C. Webb
GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
(2016)
Article
Geochemistry & Geophysics
Daniel Brazitis, James A. Conder
SEISMOLOGICAL RESEARCH LETTERS
(2016)
Article
Energy & Fuels
Bolorchimeg Nanzad, Ken B. Anderson, James A. Conder
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2017)
Article
Geochemistry & Geophysics
James A. Conder, Carlos A. Arciniegas
SEISMOLOGICAL RESEARCH LETTERS
(2017)
Article
Geochemistry & Geophysics
Eric C. Ferre, Andrea L. Meado, John W. Geissman, Giulio Di Toro, Elena Spagnuolo, Tadamasa Ueda, Lewis D. Ashwal, Natalie Deseta, Torgeir B. Andersen, Justin Filiberto, James A. Conder
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2017)
Article
Energy & Fuels
Seare G. Ocubalidet, Susan M. Rimmer, James A. Conder
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2018)
Article
Geochemistry & Geophysics
DelWayne R. Bohnenstiehl, Robert P. Dziak, Haru Matsumoto, James A. Conder
GEOPHYSICAL JOURNAL INTERNATIONAL
(2014)
Article
Geosciences, Multidisciplinary
James A. Conder
MATHEMATICAL GEOSCIENCES
(2015)
Article
Geochemistry & Geophysics
Joseph Knafelc, Justin Filiberto, Eric C. Ferre, James A. Conder, Lacey Costello, Jake R. Crandall, M. Darby Dyar, Sarah A. Friedman, Daniel R. Hummer, Susanne P. Schwenzer
AMERICAN MINERALOGIST
(2019)
Article
Geochemistry & Geophysics
Chijioke M. Idoko, James A. Conder, Eric C. Ferre, Justin Filiberto
PHYSICS OF THE EARTH AND PLANETARY INTERIORS
(2019)
Article
Geochemistry & Geophysics
Asiye Aziz Zanjani, Lupei Zhu, Robert B. Herrmann, Yuchen Liu, Zhiyuan Gu, James A. Conder
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2019)
Article
Environmental Sciences
Bolorchimeg N. Tunnell, James A. Conder, Ken B. Anderson, Marek Locmelis
Summary: Cycle-jumping model limits the overlap of multiple curves, providing a better fit for data and reflecting production profiles more realistically impacted by external factors.
NATURAL RESOURCE MODELING
(2021)
Article
Geology
James A. Conder
Summary: The missing link in our understanding of the Wilson cycle is how a continental rift transitions to seafloor spreading. The variety of rift structures and transition timings at rift margins cannot be easily explained by specific strain and/or magmatism. The isostatic response during and after ocean loading, often ignored but potentially crucial, plays a key role in driving flow in the asthenosphere and altering mantle tractions of the rift system. Evidence from the Atlantic, Afar triple junction, and other areas suggests that ocean inundation facilitates self-sustained seafloor spreading, challenging the notion that the ocean is simply incidental to the creation of oceanic basins.
