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SPE provides shared expertise, resources, and life-long learning opportunities to fuel the success of our members and the future of the industry. SPE provides shared expertise, resources, and life-long learning opportunities to fuel the success of our members and the future of the industry. Log in to see events relevant to your location and specialty. Stories of SPE members who are helping shape the future of energy. SPE has enabled me to have a fantastic career and make friends with amazing people all around the world.
- North America > United States (0.21)
- North America > Canada (0.21)
SPE is firmly focused on the future of our industry, energy transition and the technology and process developments toward lower carbon and net zero. Join in the discussion of new technologies, challenges and opportunities, the latest news and developments, and resources to grow your knowledge. In each topic section you'll discover: CURRENT NEWS: what's going on in the industry today and how others are responding to the topic, in our Journal of Petroleum Technology news and features Challenges for Net Zero and Energy Transitions: An overview of challenges facing the industry on the path to Net Zero. Thriving in a Multi-Generational Workforce during the Energy Transition: Highlights effective ways to bridge various generational approaches to work in today's energy landscape. Technology Advances and Energy Transition for Sustainability: Discusses initiatives relating to the sustainability aspects such as leveraging carbon capture, utilization and storage to enable sustainable energy supply.
A Technical Section represents a grouping of global members who share an interest in a specific technical topic. These communities of SPE members share ideas, promote competence, and develop projects related to their technical interest. Technical Sections tend to be more task-oriented than discussion-oriented. They meet virtually for the most part, but are encouraged to hold a face-to-face meeting at least once a year. The Technical Sections Operations Manual (TSOM) is your go-to source for information about how to conduct your technical section activities. You can learn about your individual role and find the forms and deadlines associated with your duties. Questions may be directed to your staff liaison, or to technicalsections@spe.org.
The Career Pathways Fair started as part of the 2015 SPE Offshore Europe Conference in Aberdeen, UK. The aim was to connect young aspiring engineers to speak to more experienced professionals about the realities and opportunities open to them. Booths were set up representing different roles across the industry. This allowed students and young professionals to ask questions and ensure they had the necessary skills to maximize available opportunities. In 2019, the event also went virtual, with SPE's first fully online conference.
Characterizing Landfill Extent, Composition, and Biogeochemical Activity using Electrical Resistivity Tomography and Induced Polarization under Varying Geomembrane Coverage
Ma, Xinmin (Shandong University) | Zhang, Jiaming (Beijing Construction Engineering Group Environmental Remediation Co., Ltd.) | Schwartz, Nimrod (The Hebrew University of Jerusalem) | Li, Jing (Shandong University) | Chao, Chen (Shandong University) | Meng, Jian (Shandong University) | Mao, Deqiang (Shandong University)
Landfill monitoring is essential for sustainable waste management and environmental protection. Geophysical methods can provide quasi-continuous spatial and temporal insights into subsurface physical properties and processes in a non-intrusive manner. The effectiveness of monitoring landfill extent, composition, and degradation under varying geomembrane coverage was evaluated using electrical resistivity tomography (ERT) and induced polarization (IP) methods. Synthetic electrical models for landfill with different geomembrane damage degrees were inverted to assess data reliability. The current conduction channels into the geomembrane during the electrical survey were quantified. Reliable electrical data was obtained when the inverted conduction channel ratio of the geomembrane (representing damage to the geomembrane) was 51.6% or higher. This criterion was validated in a landfill experiencing aeration and anaerobic treatments. ERT and IP data captured construction and domestic waste distribution and identified the landfill boundary. The chargeability of domestic waste proved sensitive to microbial degradation activity, corroborated by characteristic ammonium and nitrate ions and a linear relation between chargeability and subsurface temperature. Temperature variations between the aerobic and anaerobic reaction zones (>20ยฐC and = 12C) were observed to correlate with high chargeability values (>80.4 mV/V), signifying the presence of biogeochemically active zones. IP excels in characterizing geomembrane-covered landfill boundaries and discerning biogeochemical activity, thereby enhancing landfill monitoring and waste management strategies.
- Research Report (0.46)
- Overview (0.46)
- Water & Waste Management > Solid Waste Management (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Information Technology > Artificial Intelligence (0.46)
- Information Technology > Data Science (0.34)
The numerical solution of wave equations plays a crucial role in computational geophysics problems, which forms the foundation of inverse problems and directly impact the high-precision imaging results of earth models. However, common numerical methods often lead to signifcant computational and storage requirements. Due to the heavy reliance on forward modeling methods in inversion techniques, particularly full waveform inversion, enhancing the computational efficiency and reducing storage demands of traditional numerical methods becomes a key issue in computational geophysics. In this paper, we present the deep Lax-Wendroff correction method (DeepLWC), a deep learning-based numerical format for solving two#xD; dimensional (2D) hyperbolic wave equations. DeepLWC combines the advantages of the traditional numerical schemes with a deep neural network. We provide a detailed comparison of this method with representative traditional Lax-Wendroff correction (LWC) method. Our numerical results indicate that the DeepLWC signifcantly improves calculation speed (by more than ten times) and reduces storage space by over 10000 times compared to traditional numerical methods. In contrast to the more popular Physics Informed Neural Network (PINN) method, DeepLWC maximizes the advantages of traditional mathematical methods in solving PDEs and employs a new sampling approach, leading to improved accuracy and faster computations. It is particularly worth pointing that, DeepLWC introduces a novel research paradigm for numerical equation-solving, which can be combined with various traditional numerical methods, enabling acceleration and reduction in storage requirements of conventional approaches.
During geophysical exploration, inpainting defective logging images caused by mismatches between logging tools and borehole sizes can affect fracture and hole identification, petrographic analysis and stratigraphic studies. However, existing methods do not describe stratigraphic continuity enough. Also, they ignore the completeness of characterization in terms of fractures, gravel structures, and fine-grained textures in the logging images. To address these issues, we propose a deep learning method for inpainting stratigraphic features. First, to enhance the continuity of image inpainting, we build a generative adversarial network (GAN) and train it on numerous natural images to extract relevant features that guide the recovery of continuity characteristics. Second, to ensure complete structural and textural features are found in geological formations, we introduce a feature-extraction-fusion module with a co-occurrence mechanism consisting of channel attention(CA) and self-attention(SA). CA improves texture effects by adaptively adjusting control parameters based on highly correlated prior features from electrical logging images. SA captures long-range contextual associations across pre-inpainted gaps to improve completeness in fractures and gravels structure representation. The proposed method has been tested on various borehole images demonstrating its reliability and robustness.
- Geology > Geological Subdiscipline > Stratigraphy (0.74)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.46)
- Geophysics > Seismic Surveying > Borehole Seismic Surveying (1.00)
- Geophysics > Borehole Geophysics (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Open hole/cased hole log analysis (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Borehole imaging and wellbore seismic (1.00)
- (2 more...)
Data-driven double-focusing resolution analyses for seismic imaging
Fu, Li-Yun (China University of Petroleum (East China), Laoshan Laboratory) | Tang, Cong (PetroChina Southwest Oil & Gas Field Company) | Wei, Wei (Chinese Academy of Sciences) | Du, Qizhen (China University of Petroleum (East China), Laoshan Laboratory)
Seismic imaging requires a supporting tool to measure its resolution characteristics as a basis for seismic interpretation. However, traditional focal-beam resolution analyses are usually applied to acquisition geometries by calculating the impulse response of a single point in a reference velocity model. Seismic data to directly estimate the spatial resolution of migrated images remains unaddressed. We address this data resolution by incorporating weighted focal beams into the prestack migration process to develop a data-driven double-focusing (DF) resolution analysis method for complex media. Unlike traditional resolution analyses that define the system resolution of acquisition geometries using a unit point reflector, the data-driven resolution analysis for seismic imaging uses angle-trace gathers that contain all the information of acquisition geometries, migration velocities, propagation effects, and reflectivities. The data-driven resolution analysis consists of the detector- and source-focusing processes using common-shot and common-detector gathers, respectively, followed by a multiplication of weighted focal detector and source beams. The resulting resolution function can be used to calculate the horizontal and vertical resolution and sharpness of a given imaging point. It is implemented along with prestack migration to share the same wavefield extrapolation without invoking extra computational cost. We benchmark the data-driven method for a homogeneous medium containing single-point and double-point targets by conventional point-spread and focal-beam methods. Numerical experiments with wedge-model synthetic data and field data show the performance of the DF resolution analysis, demonstrating the effects of propagation attenuation, incorrect migration velocity, and noise contamination, which significantly reduce the system resolution of acquisition geometries.
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling (1.00)
- Asia > China > Sichuan > Sichuan Basin > Southwest Field > Longwangmiao Formation (0.99)
- North America > United States > Louisiana > China Field (0.97)
As the newly appointed Regional Director for Europe, my first update aimed at briefly introducing myself. In this second update, the first of 2024, I am excited to wish and very happy 2024, but most importantly unveil our comprehensive strategy for the next three years. Rooted in the principles of transparency, this roadmap, will not be reserved for discussions within the boardroom. It is also openly shared with you, our valued members, and at the same time present it to the overall SPE board this January. SPE President Terry Palisch is joined by Dana Otillio, vice president of SPE's marketing and communications, to discuss how members can maximize their membership by leveraging multimedia content.