JOURNAL OF SEISMIC EXPLORATION

Scope & Guideline

Pioneering the Future of Geochemistry and Geophysics

Introduction

Welcome to the JOURNAL OF SEISMIC EXPLORATION information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JOURNAL OF SEISMIC EXPLORATION, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0963-0651
PublisherGEOPHYSICAL PRESS
Support Open AccessNo
CountryFrance
TypeJournal
Convergefrom 1992 to 2023
AbbreviationJ SEISM EXPLOR / J. Seism Explor.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address14 RUE DU PRADO, 34170 CASTELNAU-LE-LEZ, FRANCE

Aims and Scopes

The JOURNAL OF SEISMIC EXPLORATION is dedicated to advancing the field of seismic data analysis and exploration through innovative methodologies and technologies. It serves as a platform for researchers to share their findings on various aspects of seismic exploration, emphasizing the importance of data acquisition, processing, and interpretation.
  1. Seismic Data Processing and Enhancement:
    This area focuses on methods for improving the quality and interpretability of seismic data, including noise attenuation, data reconstruction, and image enhancement techniques.
  2. Application of Machine Learning and AI in Seismic Exploration:
    The journal highlights the integration of artificial intelligence and machine learning approaches, such as deep learning and convolutional neural networks, to automate and enhance various seismic analysis tasks.
  3. Geophysical Modeling and Inversion Techniques:
    Research in this domain covers advanced methodologies for seismic modeling and inversion, including full-waveform inversion and various regularization techniques that improve parameter estimation.
  4. Environmental and Resource Exploration:
    The journal includes studies related to the application of seismic techniques in resource exploration, such as oil, gas, and mineral resources, as well as environmental monitoring.
  5. Theoretical and Computational Seismology:
    This encompasses the development of theoretical frameworks and computational algorithms to better understand seismic wave propagation and the physical characteristics of subsurface materials.
The JOURNAL OF SEISMIC EXPLORATION has seen the emergence of several innovative themes that reflect the current trends in seismic research. These themes highlight the journal's adaptability to the evolving landscape of geophysical exploration and data analysis.
  1. Deep Learning and Neural Networks for Seismic Applications:
    There is a growing trend in utilizing deep learning techniques, particularly convolutional neural networks, for tasks such as event detection, data enhancement, and inversion, showcasing the journal's commitment to incorporating modern computational methods.
  2. Integration of Multi-Scale and Adaptive Techniques:
    Recent publications emphasize the need for multi-scale approaches and adaptive techniques in seismic data processing, indicating a trend towards methods that can dynamically adjust to varying data characteristics.
  3. Uncertainty Quantification in Seismic Inversion:
    Emerging themes include the quantification of uncertainties in seismic inversion processes, reflecting a broader recognition of the importance of reliability and accuracy in geophysical modeling.
  4. Interdisciplinary Approaches to Seismic Exploration:
    An increasing number of studies are integrating insights from various fields, such as machine learning, physics, and environmental science, to enhance seismic exploration techniques and applications.
  5. Real-Time Data Processing and Monitoring:
    There is a notable trend towards real-time processing methodologies, which are vital for applications such as monitoring microseismic events and immediate response in environmental assessments.

Declining or Waning

While the JOURNAL OF SEISMIC EXPLORATION continues to grow in various areas, certain themes have seen a decline in focus over recent years. This may reflect shifts in research priorities or advancements in technology that have rendered previous approaches less relevant.
  1. Traditional Seismic Reflection Techniques:
    There has been a noticeable decrease in publications solely focused on conventional seismic reflection methods, as newer techniques and technologies emerge, leading to a shift towards innovative data processing and interpretation methods.
  2. Basic Statistical Methods in Seismic Analysis:
    Research employing basic statistical analysis without the integration of more advanced computational techniques or machine learning approaches appears to be declining, indicating a preference for more sophisticated methodologies.
  3. Single-Domain Seismic Applications:
    Studies focusing exclusively on single-domain applications of seismic data (e.g., only seismic reflection or refraction) are becoming less common, as interdisciplinary approaches that combine various geophysical methods gain traction.

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