Catálogo de publicaciones - revistas

<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> Government policies, incentives, and funding directly impact gains in energy efficiency and energy independence. In this episode, Diana Sineva and Stephen Brown highlight recent policy changes in the United States and how the changes impact the world and the oil and gas sector. They discuss cutting-edge policy and research to offer a novel perspective on topics that will impact the world for generations. </jats:p>

<jats:p> The Editorial Calendar details upcoming publication plans for The Leading Edge. This includes special sections, guest editors, and information about submitting articles to TLE. </jats:p>

<jats:p> I remember years ago the president of BGP, Wenrong Xu, spoke at an SEG Annual Meeting on the topic of “From the East to West.” The presentation and its title referred to the fact that, at the time, the focus of geophysics in China was moving from the eastern regions to western regions where difficult surface conditions and subsurface structural complexity made seismic acquisition and imaging a challenge. I would like to put a spin on Xu's title and consider our current challenges and opportunities not from East to West or from West to East but from where West and East come together. </jats:p>

<jats:p> The third annual International Meeting for Applied Geoscience &amp; Energy (IMAGE) will bring geoscientists from around the world together from 28 August to 1 September at the George R. Brown Convention Center in Houston, Texas. </jats:p>

<jats:p> The concept of open and reproducible research is not entirely new to the field of geophysics, as evidenced by previous studies such as Fomel et al. (2013) . However, the advent of artificial intelligence (AI) and cloud computing have greatly simplified the sharing of technology and resources, and this has accelerated innovation ( Lowndes et al., 2017 ) and brought about a shift in the mindset of geoscientists. For the papers gathered in this special section, the authors made extensive use of open-source material in their underlying research, and they have, in turn, made their data, code, and software tools freely available. </jats:p>

<jats:p> Time-lapse (4D) seismic inversion is the leading method to quantitatively monitor fluid-flow dynamics in the subsurface, with applications ranging from enhanced oil recovery to subsurface CO<jats:sub>2</jats:sub> storage. The process of inverting 4D seismic data for reservoir properties is a notoriously ill-posed inverse problem due to the band-limited and noisy nature of seismic data and inaccuracies in the repeatability of 4D acquisition surveys. Consequently, ad-hoc regularization strategies are essential for the 4D seismic inverse problem to obtain geologically meaningful subsurface models and associated 4D changes. Motivated by recent advances in the field of convex optimization, we propose a joint inversion-segmentation algorithm for 4D seismic inversion that integrates total variation and segmentation priors as a way to counteract missing frequencies and present noise in 4D seismic data. The proposed inversion framework is designed for poststack seismic data and applied to a pair of seismic volumes from the open Sleipner 4D seismic data set. Our method has three main advantages over state-of-the-art least-squares inversion methods. First, it produces high-resolution baseline and monitor acoustic models. Second, it mitigates nonrepeatable noise and better highlights real 4D changes by leveraging similarities between multiple data. Finally, it provides a volumetric classification of the acoustic impedance 4D difference model (4D changes) based on user-defined classes (i.e., percentages of speedup or slowdown in the subsurface). Such advantages may enable more robust stratigraphic/structural and quantitative 4D seismic interpretation and provide more accurate inputs for dynamic reservoir simulations. Alongside presenting our novel inversion method, we introduce a streamlined data preprocessing sequence for the 4D Sleipner poststack seismic data set that includes time-shift estimation and well-to-seismic tie. Finally, we provide insights into the open-source framework for large-scale optimization that we used to implement the proposed algorithm in an efficient and scalable manner. </jats:p>

<jats:p> MDIO is a fully open-source data storage format that enables computational workflows for various high-dimensional energy data sets including seismic data and wind models. Designed to be efficient and flexible, MDIO provides interoperable software infrastructure with existing energy data standards. It leverages an open-source format called Zarr to enable data usage in the cloud and on-premises file systems. An overview of the data model and schema for MDIO is provided, and an open-source Python library developed to work with MDIO data is demonstrated. We explain how MDIO supports different computational workflows and discuss applications for data management, seismic imaging, machine learning, wind resource assessment, and real-time seismic visualization. Overall, MDIO gives researchers, practitioners, and developers in the energy sector a standardized and open approach to managing and sharing multidimensional energy data. </jats:p>

<jats:p> We present the Seismic Laboratory for Imaging and Modeling/Monitoring open-source software framework for computational geophysics and, more generally, inverse problems involving the wave equation (e.g., seismic and medical ultrasound), regularization with learned priors, and learned neural surrogates for multiphase flow simulations. By integrating multiple layers of abstraction, the software is designed to be both readable and scalable, allowing researchers to easily formulate problems in an abstract fashion while exploiting the latest developments in high-performance computing. The design principles and their benefits are illustrated and demonstrated by means of building a scalable prototype for permeability inversion from time-lapse crosswell seismic data, which, aside from coupling of wave physics and multiphase flow, involves machine learning. </jats:p>

<jats:p> Floyd Shale has a measured anisotropy that is consistent with transverse isotropy but with a magnitude of nearly 40% in Thomsen parameters γ and ε. The measured anisotropy is very strong, with a relation between γ and ε but not δ. This requires incorporating strong anisotropy while locating any microseismic events induced during fracture stimulation. It makes velocities deduced from sonic logs in deviated wellbores considerably different than vertical velocities. Floyd Shale looks very similar to Barnett Shale in many of its petrophysical properties except mineralogy. Production to date has been disappointing. We review key petrophysical and rock-physics properties of 103 ft of Floyd Shale recovered from the McShan Timberlands well. Based on these analyses, Floyd looks very promising (i.e., total organic carbon is in excess of 4 wt%, and porosities average 6%). However, mineralogy is dominated by clays (typically greater than 50 wt%), and Barnett has generally less than 29% clay. High-pressure mercury injection capillary pressure and nuclear magnetic resonance indicate that pore throats and pore bodies are small (i.e., less than 15 nm). Physical inspection of the recovered core reveals fresh slickensides (i.e., evidence of hydraulic fracturing) and compromised calcite-filled fractures. If this core is representative of Floyd Shale, we suspect that any hydrocarbons generated during maturation likely migrated during later tectonic fracturing. </jats:p>