Layer | Fill | Outline |
---|
Map layers
Theme | Visible | Selectable | Appearance | Zoom Range (now: 0) |
---|
Fill | Stroke |
---|---|
Collaborating Authors
Results
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...)
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...)
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)
Dr. Sina talked about the ResIPY program he helped developed to aid in geophysical monitoring. This event was co-hosted with Pick & Hammer Club and with the OU Society of Petroleum Engineers (SPE) student chapters on November 9th, 2019. The OU SEG student chapter spoke during an AP Environmental Science class at Norman High (local high school) about the importance of geology and geophysics as well as the great opportunities in those fields. Our SEG student chapter as well as the OU SPE and P&H Club exposed students to the many other opportunities within the field such as becoming a foundation geologist for sturdily constructing buildings or as a geophysicist analyzing earthquakes to studying the rocks on other planets. The Science Olympiad is an American team competition in which students compete in 23 events pertaining to various scientific disciplines, including earth science, biology, chemistry, physics, and engineering.
- North America > United States > Oklahoma (1.00)
- South America (0.94)
- Oceania (0.94)
- Geology > Geological Subdiscipline (1.00)
- Geology > Structural Geology > Tectonics > Plate Tectonics > Earthquake (0.54)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.47)
- Geophysics > Seismic Surveying > Seismic Interpretation (0.70)
- Geophysics > Seismic Surveying > Seismic Processing (0.46)
- Energy > Oil & Gas > Upstream (1.00)
- Education > Educational Setting > K-12 Education > Secondary School (0.35)
- South America > Brazil > Rio de Janeiro > South Atlantic Ocean > Santos Basin > Libra Block > Mero Field (0.99)
- South America > Brazil > Brazil > South Atlantic Ocean > Santos Basin (0.99)
- Oceania > New Zealand > North Island > Taranaki Basin (0.99)
- (5 more...)
Greg Beresford is a self-employed consulting geophysicist working in seismic acquisition and processing. He has a PhD from Oxford University, where he studied guided waves for in-seam fault detection. He worked for G.S.I. research in Dallas in the early 1980s and returned to Australia in 1986 as senior lecturer in the School of Earth Sciences at the University of Melbourne. His interests include signal-to-noise enhancement, near-surface geophysics, elastic modeling for AVO and for converted waves, and shallow-water ocean-bottom cable (OBC). He has 44 publications to his credit.
- Asia (1.00)
- Oceania > Australia (0.41)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.26)
- Africa > Middle East > Egypt (0.17)
- 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)
- Information Technology > Knowledge Management (0.40)
- Information Technology > Communications > Collaboration (0.40)
_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 210358, “Establishing Reasonable Certainty for Reserves Estimates by Using a Combination of Reliable Technologies,” by Keshav Narayanan, SPE, Peter Gale, SPE, and J.P. Blangy, SPE, Woodside Energy, et al. The paper has not been peer reviewed. The Petroleum Resources Management System (PRMS) and many regulatory agencies require what is termed “reasonable certainty” for Proved Reserves estimates. The guidance provided by the PRMS or the US Securities and Exchange Commission (SEC) for establishing reasonable certainty is general in nature because of the difficulty in explicitly describing all possible scenarios and also allows leeway to use new technologies in the future. The complete paper addresses the complex challenge of establishing reasonable certainty in reserves and resource assessments and discusses how multiple reliable technologies may be used in concert to establish reasonable certainty for reserves estimates through the flexibility provided by the PRMS. Introduction The authors write that a common response to many questions seeking clarification on reserves-related matters is that “it depends.” Likewise, regarding the question of what constitutes reliable technology, the answer depends on the specific circumstances and the data being considered. The use of reliable technology as a method to improve certainty in the estimates of oil and gas reserves was formally recognized in the 2008 modernization of oil and gas reporting. The PRMS issued in 2007 and further updated in 2018 also recognized the use of appropriate technologies that can lead to more-reliable estimates of reserves. However, the SEC or the PRMS guidelines also seem to recognize that it might not be possible to prescribe a definitive approach that could work for any set of circumstances. They broadly describe the framework for what constitutes reliable technology and how it can be used to establish reasonable certainty. Operators have an obligation to use a scientific method to build a robust case to justify categorization of volumes. Previous Research Previous work reviewed how the industry, in the years from 2008 to 2016, had been using reliable technologies for reserves estimates and how industry practitioners were demonstrating and describing that these applications were consistent with the SEC and PRMS guidelines. The material surveyed by previous researchers can be grouped into the following broad themes: - Seismic applications, which establish water contacts downdip of well controls and explore how seismic amplitude processes can be relied on to improve probability of geologic success - Dynamic simulations, which investigate when reasonable certainty can be demonstrated when simulation models are used - Unconventional applications, which include how reasonable certainty should be established when booking proved, undeveloped reserves (PUD) away from well control - SEC comment letters, which can require registrant companies to more-clearly spell out the demonstration of reasonable certainty - Applications of multiple reliable technologies increase confidence in free-water level determined by use of pressure data or seismic amplitude shutoffs, seal-capacity analysis, well logs, pressure data, and seismic to support proved reserves estimates
- North America > United States (1.00)
- Asia > Middle East > Israel > Mediterranean Sea (0.25)
- Summary/Review (0.37)
- Research Report (0.35)
- Government > Regional Government > North America Government > United States Government (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Oceania > Australia > Western Australia > North West Shelf > Carnarvon Basin > Exmouth Plateau > WA-1-R > Scarborough Field (0.99)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Green Canyon > Block 744 > Atlantis Field (0.99)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Green Canyon > Block 743 > Atlantis Field (0.99)
- (3 more...)