Upstream Oil and Gas Technology

Scope & Guideline

Pioneering Research for Sustainable Energy Solutions

Introduction

Explore the comprehensive scope of Upstream Oil and Gas Technology through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Upstream Oil and Gas Technology in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2666-2604
PublisherELSEVIER
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2019 to 2023
AbbreviationUPSTREAM OIL GAS TEC / Upstream Oil Gas Technol.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Upstream Oil and Gas Technology' focuses on advancing the field of oil and gas extraction through innovative technologies and methodologies. Its publications encompass a variety of themes that contribute to the efficiency, safety, and sustainability of upstream operations.
  1. Reservoir Engineering and Simulation:
    Research on the modeling and simulation of reservoir behavior, including multiscale and geomechanics approaches, to optimize oil and gas recovery.
  2. Drilling Technology and Optimization:
    Innovations in drilling techniques, including the use of advanced materials, fluid properties, and modeling approaches to enhance drilling efficiency and reduce risks.
  3. Digitalization and Data Analytics:
    Adoption of digital tools and machine learning algorithms to analyze data for improving decision-making processes in oil and gas operations.
  4. Environmental Impact and Sustainability:
    Studies aimed at understanding and mitigating the environmental impacts of oil and gas extraction, including waste management and resource optimization.
  5. Material Science and Chemical Engineering:
    Development and evaluation of materials and chemical agents used in drilling fluids, cementing, and wellbore stability to improve operational performance.
The journal has seen a rise in interest in several emerging themes that align with technological advancements and industry needs. These trends demonstrate the journal's commitment to exploring cutting-edge topics in upstream oil and gas technology.
  1. Machine Learning and AI Applications:
    There is a growing trend towards employing machine learning and artificial intelligence to enhance predictive analytics, optimize drilling operations, and improve reservoir management.
  2. Advanced Material Development:
    Research focusing on innovative materials such as nanoparticles and modified cement slurries is gaining prominence, aiming to improve the performance of drilling fluids and well integrity.
  3. Digital Transformation and Industry 4.0:
    The integration of digital technologies, including IoT and big data analytics, is a key emerging theme, emphasizing the need for digitalization in oil and gas operations.
  4. Enhanced Oil Recovery Techniques:
    Innovative approaches to enhance oil recovery, including CO2 flooding and novel chemical agents, are increasingly featured, highlighting the industry’s push towards more efficient extraction methods.
  5. Sustainability and Environmental Technologies:
    Research focused on reducing the environmental footprint of oil and gas operations, including waste management strategies and alternative energy sources, is becoming more prevalent.

Declining or Waning

Over the years, certain research themes within 'Upstream Oil and Gas Technology' have seen a decline in focus. These waning scopes reflect shifting priorities in the industry and the evolution of technology.
  1. Traditional Reservoir Analysis Techniques:
    As modern computational methods and machine learning gain traction, traditional techniques for reservoir analysis and characterization are becoming less emphasized.
  2. Basic Fluid Mechanics Studies:
    Research centered on fundamental fluid dynamics without advanced modeling or computational approaches is witnessing reduced interest, as more sophisticated simulations are favored.
  3. Conventional Well Control Methods:
    The focus on conventional well control strategies is diminishing in favor of integrated and data-driven approaches that enhance safety and efficiency.
  4. Static Modeling Approaches:
    Static models are being overshadowed by dynamic and real-time modeling techniques that offer better insights into reservoir behavior and operational adjustments.

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