Catálogo de publicaciones - revistas

<jats:p> Enders Robinson, A reminiscence </jats:p>

<jats:p> Westley Rabey died 21 June 2021. Jutta Hager died 14 August 2022. Jack Cole died 22 August 2022. Robert Brune died 18 December 2022. </jats:p>

<jats:p> Applications for Active membership have been received from the candidates listed herein. </jats:p>

<jats:p> SEG Board of Directors actions in January 2023 </jats:p>

<jats:p> The Meetings Calendar chronologically lists professional events of interest to SEG members and means by which further information can be obtained. </jats:p>

<jats:p> In this episode of Seismic Soundoff, Neelsh Neelamani traces the history of the seismic method to showcase recent breakthroughs and future advancements. </jats:p>

<jats:p> The Editorial Calendar details upcoming (approximately one year in advance) publication plans for The Leading Edge. This includes all special sections, guest editors, and information about submitting articles to TLE. </jats:p>

<jats:p> When Ken Tubman approached me about writing the President's Page for TLE, I felt both honored and thrilled to be given the opportunity. However, it took me a while to decide on a topic that would truly resonate with myself and my fellow professionals. After much contemplation, I chose to write about something close to my heart — how SEG members in the Asia-Pacific region, particularly Southeast Asia, have been working to balance regional needs with the evolving global perspective of the Society. </jats:p>

<jats:p> Sensor technology has seen rapid advancements in recent years, driven by advancements in materials science, miniaturization, and data analytics. </jats:p>

<jats:p> The growing popularity of land nodes demands careful survey design practices to smoothly supersede cabled seismic acquisition with geophone arrays. Unfortunately, trace density is often used as a catchall proxy to describe survey quality, which is a gross oversimplification. We describe comprehensive and quantitative workflows focusing on final image quality for evaluating existing or new 3D land acquisition geometries with arrays and single sensors. They streamline the design process, remove human bias, and close the loop between acquisition and processing. A central element is a data-driven approach for deriving absolute signal-to-noise ratio (S/N) directly from the data. The resulting S/N volumes can be analyzed as cubes or slices or distilled to statistical quantities. We apply new workflows to three typical use cases from 3D land seismic data. First, we quantitatively contrast different 3D data sets acquired with various field acquisition geometries and understand which acquisition parameters are likely responsible for S/N differences. Second, we perform a realistic numerical feasibility study evaluating multiple 3D acquisition geometries with arrays and single sensors and assess their expected performance on a complex SEG Advanced Modeling Arid data set representative of the desert environment. For feasibility studies, complete automation can be achieved by applying migration in lieu of processing and data-driven S/N as evaluation steps. Finally, we show how to predict absolute S/N outcomes of new 3D acquisitions based on the existing legacy data with different acquisition geometry. We demonstrate the excellent predictive power of the analytical signal-strength estimate formula for both field and synthetic elastic data sets. Translating survey design into commonly spoken “image S/N language” improves communication between geoscientists and enables more effective decision-making. </jats:p>