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Western Australia
Regional Technical Advisory Committees have been created across the globe to identify relevant topics for local events throughout SPE's operating regions. Each region's Technical Advisory Committee's membership is representative of SPE's eight technical disciplines and has a diverse geographical and company representation.
- Energy > Oil & Gas > Upstream (1.00)
- Government > Regional Government > Asia Government > Thailand Government (0.31)
- Oceania > Australia > Western Australia > Officer Basin > Kutjara structure Formation (0.98)
- Oceania > Australia > South Australia > Officer Basin > Kutjara structure Formation (0.98)
Adaptive laterally constrained inversion of time-domain electromagnetic data using Hierarchical Bayes
Li, Hai (Chinese Academy of Sciences, Chinese Academy of Sciences) | Di, Qingyun (Chinese Academy of Sciences, Chinese Academy of Sciences) | Li, Keying (Chinese Academy of Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences)
Laterally constrained inversion (LCI) of time-domain electromagnetic (TEM) data is effective in recovering quasi-layered models, particularly in sedimentary environments. By incorporating lateral constraints, LCI enhances the stability of the inverse problem and improves the resolution of stratified interfaces. However, a limitation of the LCI is the recovery of laterally smooth transitions, even in regions unsupported by the available datasets. Therefore, we have developed an adaptive LCI scheme within a Bayesian framework. Our approach introduces user-defined constraints through a multivariate Gaussian prior, where the variances serve as hyperparameters in a Hierarchical Bayes algorithm. By simultaneously sampling the model parameters and hyperparameters, our scheme allows for varying constraints throughout the model space, selectively preserving lateral constraints that align with the available datasets. We demonstrated the effectiveness of our adaptive LCI scheme through a synthetic example. The inversion results showcase the self-adaptive nature of the strength of constraints, yielding models with smooth lateral transitions while accurately retaining sharp lateral interfaces. An application to field TEM data collected in Laizhou, China, supports the findings from the synthetic example. The adaptive LCI scheme successfully images quasi-layered environments and formations with well-defined lateral interfaces. Moreover, the Bayesian inversion provides a measure of uncertainty, allowing for a comprehensive illustration of the confidence in the inversion results.
- Geology > Mineral (0.93)
- Geology > Sedimentary Geology > Depositional Environment (0.34)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Exmouth Plateau > WA-1-R > Scarborough Field (0.99)
- Europe > Norway (0.91)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Reservoir Description and Dynamics > Reservoir Simulation > Evaluation of uncertainties (0.93)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (0.79)
- (2 more...)
All are playful nicknames for the oil and gas icon known as a pumpjack. To the uninformed, the pumpjack is a thing-a-ma-jig that has something to do with oil, probably "fracking" because that's what drilling rigs do, right? But as an industry-educated and well-informed reader of JPT, you know this is inaccurate. By whatever name you call it, you know that the pumpjack is the visible manifestation of an invisible physics equation, a mechanism buried deep underground that lifts reservoir fluids to the surface. You also know it is one type of artificial lift available in a stable of systems with equally curious and technical names like progressive cavity, plunger, jet, gas lift, and electrical submersible pump (ESP).
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Dampier Basin > WA-209-P > Stag Field (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Dampier Basin > WA-15-L > Stag Field (0.99)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- (26 more...)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale oil (0.70)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale gas (0.70)
- Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (0.69)
- (5 more...)
Australia's Woodside Energy marked a significant milestone in its Scarborough gas and LNG project offshore Western Australia with the arrival of the first three Pluto Train 2 modules. The three modules, fabricated by Bechtel in Indonesia, weigh a combined 4,000 tons and are the first of 51 modules to be shipped to the site from the module yard to form Pluto Train 2. Pluto Train 2 is the second LNG production train at the existing Pluto LNG onshore facility and will process gas from the Scarborough development. Bechtel was selected by Woodside Energy to execute the engineering, procurement, and construction of Pluto Train 2, with construction activities beginning in November 2021. The final investment decision to develop the Scarborough gas field was announced in November 2021. The field is located approximately 375 km off the coast of Western Australia and is estimated to contain 11.1 Tcf of dry gas.
Compressional and shear sonic transit-time logs (DTC and DTS, respectively) provide important petrophysical and geomechanical information for subsurface characterization. However, they are often not acquired in all wells because of cost limitations or borehole problems. We propose a method to estimate DTC and DTS simultaneously, from other commonly acquired well logs like gamma-ray, density, and neutron porosity. Our method consists of two consecutive models to predict the sonic logs and predict the seismic traces at well locations. The model predicting the seismic traces adds a spatial constraint to the model predicting sonic logs. Our method also quantifies uncertainties of the prediction, which come from uncertainties of neural network parameters and input data. We train the network on four wells from the Poseidon dataset located on the Australian shelf, in the Browse basin. We test the network on other two wells from Browse basin. The test results show better predictions of sonic logs when we add the seismic constraint.
- North America > United States (0.93)
- Oceania > Australia > Western Australia > North West Shelf (0.54)
- Oceania > Australia > Western Australia > Timor Sea (0.44)
- Geology > Geological Subdiscipline > Geomechanics (0.68)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.46)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Borehole Geophysics (1.00)
- Oceania > Australia > Western Australia > Western Australia > Timor Sea > Browse Basin (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Timor Sea > Browse Basin (0.99)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Open hole/cased hole log analysis (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Neural networks (1.00)
Shallow-water carbonate structures are characterized by different shapes, sizes and identifying features, which depend, among other factors, on the age of deposition and on the carbonate factory associated with a specific geologic period. These variations have a significant impact on the imaging of these structures in reflection seismic data. This study aims at providing an overall, albeit incomplete, picture of how the seismic expression of shallow-water carbonate structures has evolved through deep time. 297 shallow-water carbonate systems of different ages, spanning from Precambrian to present, with a worldwide distribution of 159 sedimentary basins, have been studied. For each epoch, representative seismic examples of shallow-water carbonate structures were described through the assessment of a selection of discriminating seismic criteria, or parameters. The thinnest structures, commonly represented by ramp systems, usually occurred after mass extinction events, and are mainly recognizable in seismic data through prograding clinoform reflectors. The main diagnostic seismic features of most of the thickest structures, which were found to be Precambrian, Late Devonian, Middle-Late Triassic, Middle-Late Jurassic, some Early Cretaceous pre-salt systems, #8220;middle#8221; and Late Cretaceous, Middle-Late Miocene and Plio-Pleistocene, are steep slopes, and reefal facies. Slope-basinal, resedimented seismic facies, were mostly observed in thick, steep-slope platforms, and they are more common, except for megabreccias, in post-Triassic structures. Seismic-scale, early karst-related dissolution features were mostly observed in icehouse, platform deposits. Pinnacle structures and the thickest margin rims are concentrated in a few epochs, such as Middle-Late Silurian, Middle-Late Devonian, earliest Permian, Late Triassic, Late Jurassic, Late Paleocene, Middle-Upper Miocene, and Plio-Pleistocene, which are all characterized by high-efficiency reef builders.
- South America (1.00)
- North America > United States > Texas (1.00)
- North America > Canada (1.00)
- (5 more...)
- Phanerozoic > Paleozoic > Devonian (1.00)
- Phanerozoic > Mesozoic > Triassic (1.00)
- Phanerozoic > Mesozoic > Jurassic (1.00)
- (5 more...)
- Geology > Structural Geology > Tectonics (1.00)
- Geology > Sedimentary Geology > Depositional Environment > Marine Environment > Reef Environment (1.00)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (1.00)
- (3 more...)
- Geophysics > Seismic Surveying > Seismic Interpretation (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (0.93)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (0.67)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.45)
- Materials > Chemicals (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Government > Regional Government > North America Government > United States Government (0.45)
- South America > Venezuela > Caribbean Sea > Gulf of Venezuela > Gulf of Venezuela Basin > Cardon IV Block > Perla Field (0.99)
- Oceania > Australia > Western Australia > Western Australia > Timor Sea > Browse Basin (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Timor Sea > Browse Basin (0.99)
- (82 more...)
Standalone museum focused on the Argentinian petroleum heritage. It offers educational program in indoor/outdoor exhibition spaces. The museum stands on the site of the first commercial oil well drilled in Argentina, the Pozo N 2 in 1907. The National University of Patagonia San Juan Bosco manages the museum since its opening in December 13, 1987. The collections of the museum consist mainly of donations from the YPF. Standalone museum mainly focused on the local petroleum exploration. It includes indoor/outdoor exhibition spaces.
- South America (1.00)
- Oceania > Australia (1.00)
- North America > United States > Texas (1.00)
- (6 more...)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- North America > United States > Texas > Permian Basin > Yates Formation (0.99)
- North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
- (35 more...)
POST-RIFT BURIED VOLCANOES AND IGNEOUS PLUMBING SYSTEMS ALONG A CONTINENTAL RIBBON: INSIGHTS FROM THE XISHA MASSIF, NORTHWESTERN MARGIN OF THE SOUTH CHINA SEA
Wang, Lijie (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Zhang, Ruwei (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Li, Fucheng (Chinese Academy of Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Liu, Shengxuan (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Li, Fuyuan (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Yao, Yongjian (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Gu, Yuan (Ministry of Natural Resources, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)) | Zhuo, Haiteng (Sun Yat-Sen University)
possible to investigate the size, age, and geographical distribution of the buried volcanoes from multi-beam, single-, and multi-channel seismic data collected beneath the South China Sea (SCS) Xisha massif, which we argue is a continental ribbon. These data made it evident that the Middle Miocene volcanoes frequently generated massive volcanic fields that erupted along the rift fault zones, in contrast to the Early Miocene volcanoes, which typically built clusters of small-volume volcanic cones in the half-graben. Details include the presence of numerous volcanoes above and to the side of the dome-shaped main edifice that constitutes the middle Miocene volcanic field. Intrusive sills beneath volcanoes are isolated and have a dispersed distribution pattern at different levels, whereas dykes beneath volcanoes are numerous and have vertical zones of disruption (VZD) that connect to underlying faults or extend through the sediments to the crust. The relationship between the volcanoes and intrusions suggests that shallow igneous plumbing systems within the Xisha massif are most likely dyke domains. The Xisha massif has favorable conditions, including a relatively thin sedimentary sequence over a slightly extended continental crust (20ย28 km) that might provide enough magma pressure for an igneous plumbing system that is primarily fed by dykes. Additionally, rifted faults in the upper crust and possibly sub-vertical foliations in the basement rock mass were thought to be viable routes for magma transport vertically. We emphasize the importance of crustal structure on the continental ribbon in controlling igneous plumbing styles and the distribution of post-rift volcanic systems along magma-poor continental margins, including crustal thickness, pre-existing faults, heterogeneous basement, and sediments.
- Oceania (1.00)
- Europe (1.00)
- Asia > China (1.00)
- (5 more...)
- Geology > Structural Geology > Tectonics > Plate Tectonics (1.00)
- Geology > Structural Geology > Tectonics > Extensional Tectonics (1.00)
- Geology > Structural Geology > Fault > Dip-Slip Fault > Normal Fault (1.00)
- (2 more...)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Magnetic Surveying (0.93)
- Geophysics > Seismic Surveying > Seismic Interpretation (0.92)
- Oceania > New Zealand > South Island > South Pacific Ocean > Great South Basin (0.99)
- Oceania > New Zealand > South Island > South Pacific Ocean > Canterbury Basin (0.99)
- Oceania > New Zealand > North Island > Taranaki Basin (0.99)
- (16 more...)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Geologic modeling (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
This page is currently being authored by a student at the University of Oklahoma. This page will be complete by May 6, 2020. Eagle Ford Basin (also known as the Eagle Ford Shale) is a Sedimentary Rock Formation that was deposited in the Cenomanian and Turonian ages of the Late Cretaceous Period. The late Cretaceous Period was estimated to have lasted for around 89-95 million years old This Basin covers the Southwest area of Texas to just North of Austin, Texas. This basin was deposited in an inland sea that would cover modern-day Texas.
- Geology > Rock Type > Sedimentary Rock (0.98)
- Geology > Petroleum Play Type > Unconventional Play > Shale Play (0.37)
- North America > United States > Texas > West Gulf Coast Tertiary Basin > Eagle Ford Shale Formation (0.99)
- North America > United States > Texas > Sabinas - Rio Grande Basin > Eagle Ford Shale Formation (0.99)
- North America > United States > Texas > Maverick Basin > Eagle Ford Shale Formation (0.99)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Pepper Field (0.89)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale gas (0.70)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (0.52)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale oil (0.51)
- Information Technology > Knowledge Management (0.40)
- Information Technology > Communications > Collaboration (0.40)
Steven Constable studied geology at the University of Western Australia, graduating with first class honors in 1979. In 1983 he received a PhD in Geophysics from the Australian National University for a thesis titled "Deep Resistivity Studies of the Australian Crust" and later that year took a postdoc position at the Scripps Institution of Oceanography, University of California - San Diego, where he is currently Professor of Geophysics. Steven is interested in all aspects of electrical conductivity, and has made contributions to inverse theory, electrical properties of rocks, mantle conductivity, magnetic satellite induction studies, global lightning, and instrumentation. However, his main focus is marine electromagnetism; he played a significant role in the commercialization of marine EM for hydrocarbon exploration, work that was recognized by the G.W. Hohmann Award in 2003, the 2007 SEG Distinguished Achievement Award, and now the SEG 2016 [[Reginald Fessenden Award. He also received the R&D 100 Award in 2010, the AGU Bullard Lecture in 2015, followed in 2016 by being named Fellow of the AGU.
- Oceania > Australia > Western Australia (0.35)
- North America > United States > California > San Diego County > San Diego (0.25)
- Geophysics > Electromagnetic Surveying (1.00)
- Geophysics > Seismic Surveying (0.97)
- Information Technology > Knowledge Management (0.40)
- Information Technology > Communications > Collaboration (0.40)