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Collaborating Authors
Production and Well Operations
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...)
Fault structure and hydrocarbon prospects of the Palawan basin on the southeastern margin of the South China Sea based on gravity, magnetic, and seismic data
Zhang, Chunguan (Xian Shiyou University, Xian Shiyou University, National Engineering Research Center of Offshore Oil and Gas Exploration) | Liu, Shixiang (CNOOC Research Institute) | Yuan, Bingqiang (Xian Shiyou University, Xian Shiyou University) | Zhang, Gongcheng (CNOOC Research Institute)
In order to study the structural features and hydrocarbon prospects of the Palawan basin in the South China Sea (SCS), the authors collected and collated the existing gravity and magnetic data, and obtained edge recognition information from potential. Combined with the seismic profile data, this paper analyzed the features of the gravity and magnetic anomalies and the edge recognition information of the potential fields, determined the fault system, and delineated favorable areas for oil and gas exploration in the Palawan basin. The results showed that four main groups of faults with NE, NW, near EW, and near SN trends developed in the Palawan basin and adjacent areas in the SCS. The NE-trending fault was the regional fault, while the NW-trending fault was the main fault. The NW-trending fault often terminated at the NE-trending fault, indicating that the NW-trending fault was formed later. This investigation has characterized two different types (Type I and Type II) of exploration favorable areas based on characteristics observed. The most notable characteristic of these exploration favorable areas was that they were located in the high value zones of the local anomaly of Bouguer gravity anomaly, and their development was obviously controlled by the faults. The amplitude of gravity anomalies was higher and the gradient of the gravity anomalies was steeper, and there were oil and gas wells and fields distributed in Type I favorable areas for exploration. Compared with Type I favorable areas, the amplitude of gravity anomalies was relatively small and the gradient of the gravity anomalies was relatively gentle corresponding to Type II favorable areas.
- Asia > China (1.00)
- Asia > Philippines > Palawan (0.28)
- Phanerozoic > Mesozoic (1.00)
- Phanerozoic > Cenozoic > Paleogene (0.46)
- Geology > Structural Geology > Tectonics > Plate Tectonics (1.00)
- Geology > Structural Geology > Fault (1.00)
- Geology > Rock Type (1.00)
- Geology > Geological Subdiscipline > Economic Geology > Petroleum Geology (1.00)
- Geophysics > Magnetic Surveying (1.00)
- Geophysics > Gravity Surveying > Gravity Acquisition (0.67)
- South America > Venezuela > Caribbean Sea > Tobago Basin (0.99)
- Asia > Philippines > Palawan > South China Sea > Northwest Palawan Basin > West Linapacan Field (0.99)
- Asia > Philippines > Palawan Basin (0.99)
- (2 more...)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
- (3 more...)
This one day training course focuses on the repair of channels, voids and leaks in a cemented wellbore. Poor cement coverage and lack of zonal isolation in the casing-borehole annulus often leads to production of undesired fluids and reduced hydrocarbons production, disposal problems, reservoir pressure decline, loss of hydrocarbon reserves and other problems. Objective of the course is to evaluate and discuss various technologies used to repair wellbore communication paths due to wellbore aging that can develop allowing fluid to migrate from the high pressure downhole strata through leakage paths in the cement containment. Poor cement coverage and inadequate zonal isolation affects nearly every aspect of a well during its life. This course will give participants a better understanding of some critical well safety and integrity issues and methods to repair wells that have reliability issues, including sustained casing pressure (SCP).
- Production and Well Operations (1.00)
- Management > Professionalism, Training, and Education (0.92)
- Well Completion > Completion Installation and Operations (0.71)
- Health, Safety, Environment & Sustainability > Environment > Remediation and land reclamation (0.46)
In this episode, host Andrew Geary speaks with Ariel Lellouch and Tieyuan Zhu on distributed acoustic sensing (DAS), the featured special section in November's The Leading Edge. Ariel and Tieyuan highlight new developments in algorithms impacting microseismic, new findings for hydraulic fracturing, and discuss their disagreement for the current rate the geophysics industry is adopting and utilizing DAS. This is an exciting conversation on technology that has a wide range of applications for geophysics.
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Well Completion > Hydraulic Fracturing (0.77)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (0.77)
Petroleum Engineering, University of Houston, 2. Metarock Laboratories, 3. Department of Earth and Atmospheric Sciences, University of Houston) 16:00-16:30 Break and Walk to Bizzell Museum 16:30-17:30 Tour: History of Science Collections, Bizzell Memorial Library, The University of Oklahoma 17:30-19:00 Networking Reception: Thurman J. White Forum Building
- Research Report > New Finding (0.93)
- Overview (0.68)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Mineral (0.72)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.68)
- (2 more...)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)
Distributed fiber optic sensing is a rapidly developing technology with significant disruptive potential in multiple applications in many -- if not all -- of these activities. It allows the deployment of thousands of sensors that provide vital information about complex processes, enabling new optimization options and significant energy and cost savings. Fiber optic sensing can play a major role in monitoring energy production, distribution and CCS/CCUS. The workshop will focus on recent developments in the area, including high-value use cases and technology drivers. We aim to bring together current and prospective technology end-users and problem owners, sensor hardware researchers tools, fibers, cables, interrogators and application experts for seismic imaging, downhole monitoring, etc.
- Well Completion > Completion Monitoring Systems/Intelligent Wells > Downhole sensors & control equipment (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (1.00)
- Asia > China > Shanxi > Ordos Basin > Changqing Field (0.99)
- Asia > China > Shaanxi > Ordos Basin > Changqing Field (0.99)
- Asia > China > Ningxia > Ordos Basin > Changqing Field (0.99)
- (2 more...)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (1.00)
Iran has signed 13 billion in deals with domestic service companies with intentions to add 350,000 B/D of new oil production from six major fields over the next 12 months, as Chinese demand continues to drive Iranian oil exports. A contract-signing ceremony broadcast on state TV on 17 March coincided with the 73rd anniversary of the nationalization of the Iranian oil industry and the start of the Persian new year (the 13-day Nowrus festival which begins 20 March). The Iranian National Oil Company (NIOC) signed the largest of the agreements, a 11.5 billion, 20-year contract for integrated development of Iran's largest oil field, Azadegan, with the Dasht Azadegan Arvand Oil and Gas Development Company, according to the Iranian oil ministry's Shana news service. The project aims to more than double production to 550,000 B/D from 205,000 B/D at Azadegan which has an estimated 32 billion bbl of oil in place. Field development is ongoing with the drilling of 185 new wells of which 60 were recently put into operation, according to Iran's oil ministry.
- Asia > Middle East > Iraq > Maysan Governorate (0.37)
- Asia > Middle East > Iran > Khuzestan (0.37)
- Asia > Middle East > Iraq > Basra Governorate > Arabian Basin > Widyan Basin > Mesopotamian Basin > West Karoun Block > Majnoon Field > Zubair Formation (0.99)
- Asia > Middle East > Iraq > Basra Governorate > Arabian Basin > Widyan Basin > Mesopotamian Basin > West Karoun Block > Majnoon Field > Tanuma Formation (0.99)
- Asia > Middle East > Iraq > Basra Governorate > Arabian Basin > Widyan Basin > Mesopotamian Basin > West Karoun Block > Majnoon Field > Sa'adi Formation (0.99)
- (16 more...)
- Production and Well Operations (0.73)
- Reservoir Description and Dynamics > Reserves Evaluation (0.54)
- Management > Asset and Portfolio Management (0.39)
The Way Ahead is pleased to announce the addition of 19 new members to our TWA Editorial Board. Comprising SPE young professionals, these dedicated volunteers play a crucial role by crafting articles or collaborating with energy industry experts worldwide to source insightful material. Abdulmalik Ajibade is an artificial intelligence (AI) solutions researcher at OSECUL Nigeria Ltd. He is a certified data analyst and volunteers as a machine learning (ML) engineer at Omdena. He is a winner of the SPE Nigeria Paper Contest for research work in improving production optimization with machine learning.
- Africa > Nigeria (1.00)
- Asia > Middle East > UAE (0.29)
- Energy > Oil & Gas > Upstream (1.00)
- Education > Educational Setting > Higher Education (1.00)
- Production and Well Operations (1.00)
- Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (1.00)
- Health, Safety, Environment & Sustainability > Environment > Climate change (1.00)
- (3 more...)
Facies classification of image logs plays a vital role in reservoir characterization, especially in the heterogeneous and anisotropic carbonate formations of the Brazilian pre-salt region. Although manual classification remains the industry standard for handling the complexity and diversity of image logs, it has notable disadvantages of being time-consuming, labor-intensive, subjective, and non-repeatable. Recent advancements in machine learning offer promising solutions for automation and acceleration. However, previous attempts to train deep neural networks for facies identification have struggled to generalize to new data due to insufficient labeled data and the inherent intricacy of image logs. Additionally, human errors in manual labels further hinder the performance of trained models. To overcome these challenges, we propose adopting the state-of-the-art SwinV2-Unet to provide depthwise facies classification for Brazilian pre-salt acoustic image logs. The training process incorporates transfer learning to mitigate overfitting and confident learning to address label errors. Through a k-fold cross-validation experiment, with each fold spanning over 350 meters, we achieve an impressive macro F1 score of 0.90 for out-of-sample predictions. This significantly surpasses the previous model modified from the widely recognized U-Net, which provides a macro F1 score of 0.68. These findings highlight the effectiveness of the employed enhancements, including the adoption of an improved neural network and an enhanced training strategy. Moreover, our SwinV2-Unet enables highly efficient and accurate facies analysis of the complex yet informative image logs, significantly advancing our understanding of hydrocarbon reservoirs, saving human effort, and improving productivity.
- Geology > Structural Geology > Tectonics > Salt Tectonics (1.00)
- Geology > Geological Subdiscipline (1.00)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.67)
- 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...)