Netherlands
She held a postdoctoral position at the University of Texas at Austin, USA (2007–2008), and worked as CSIR-Raman Research Fellow at the Department of Geoscience, University of Calgary, Canada in 2016. She has been a visiting scientist at the Norwegian University of Science and Technology (NTNU) and SINTEF Petroleum Research, Trondheim, Norway, under Indo-Norwegian Collaboration Programs (2005–2006 and 2010–2013). She had short research stay at the King Abdullah University of Science and Technology, Saudi Arabia during April 2018. Nimisha was the Indian project coordinator for the Indo-Norwegian collaborative projects that focused on the '4D Seismic Monitoring of In-situ Combustion Process in Balol Heavy Oil Field, India' and'Feasibility Assessment of a CO2 EOR process in Ankleshwar Oil Field, India'. She led these projects in collaborations with NTNU, SINTEF, and the Oil and Natural Gas Corporation of India under a tripartite agreement signed under the aegis of Norwegian Embassy in India.
- Asia > India > Gujarat (0.56)
- North America > United States > Texas > Travis County > Austin (0.25)
- North America > Canada > Alberta > Census Division No. 6 > Calgary Metropolitan Region > Calgary (0.25)
- Europe > Norway > Trøndelag > Trondheim (0.25)
- Geology > Petroleum Play Type > Unconventional Play > Heavy Oil Play (0.56)
- Geology > Rock Type (0.38)
- Geophysics > Seismic Surveying (1.00)
- Geophysics > Time-Lapse Surveying > Time-Lapse Seismic Surveying (0.91)
- Europe > Norway > North Sea > Central North Sea > South Viking Graben > PL 046 > Utsira Formation (0.99)
- Europe > Norway > North Sea > Central North Sea > South Viking Graben > PL 046 > Block 15/9 > Sleipner Field > Draupne Formation (0.99)
- Europe > Norway > North Sea > Central North Sea > South Viking Graben > PL 046 > Block 15/8 > Sleipner Field > Draupne Formation (0.99)
- (6 more...)
- Information Technology > Knowledge Management (0.76)
- Information Technology > Communications > Collaboration (0.76)
Combined onshore and offshore wide scale seismic data acquisition and imaging for CCS exploration in Havns, Denmark
Zappal, Samuel (Uppsala University) | Malehmir, Alireza (Uppsala University) | Papadopoulou, Myrto (Uppsala University) | Gregersen, Ulrik (Geological Survey of Denmark and Greenland (GEUS)) | Funck, Thomas (Geological Survey of Denmark and Greenland (GEUS)) | Clausen, Ole R. (Aarhus University) | Nrmark, Egon (Aarhus University)
Strong global actions for climate change include carbon capture and storage (CCS) as a feasible solution to reach carbon neutrality and raise opportunities for detailed subsurface investigations. An acquisition set-up designed for onshore-offshore zones was maximized for a wide-scale high-resolution structural imaging and implemented to cover a domal structure of interest for CCS utilization close to the town of Havns�nmark). Challenges of a combined acquisition and processing of land and marine multi-sensor data along a 42 km seismic profile are analyzed, suggested solutions are applied and limitations discussed. On the onshore side, a nodal array and a seismic landstreamer system were simultaneously used while along the transition zone a marine seismic streamer and ocean bottom seismometers were added to record the seismic response generated by two seismic vibrator sources. The adopted sensing domains (velocity, acceleration, and pressure) were studied and different processing steps were evaluated to enable their processing and subsequent data set merging. Results suggest as a best approach, a separate prestack processing of the different data sets and the computation of new geometries and new surface-consistent residual static correction after their merging. The data acquired in the transition zone illuminate for the first time the subsurface geology of the region delineating an expected domal closure. The final seismic section shows high continuity of the reflections with good resolution along the entire profile, identifying the main reservoir structure and the surrounding areas, which are important to ensure the reservoir integrity and safe exploitation over longer time scales. Shallow and deep reflections are consistent with the stratigraphic column from a well-log near the profile. The presented study shows a comprehensive workflow for processing such a multi-sensor data set in onshore and transition zone settings.
- Europe > Denmark (1.00)
- North America > United States > Illinois > Madison County (0.24)
- Research Report > New Finding (0.66)
- Research Report > Experimental Study (0.48)
- Geology > Geological Subdiscipline > Stratigraphy (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.46)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition > Marine Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition > Land Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (1.00)
- Europe > Norway > North Sea > Central North Sea > Central Graben > PL 019 > Gassum Formation (0.99)
- Oceania > Australia > Victoria > Bass Strait > Gippsland Basin (0.89)
- North America > Canada > Alberta > Border Field > Anglo Pacific Et Al Czar 11-33-41-5 Well (0.89)
- (5 more...)
ABSTRACT Microseismic event locations and moment tensors (MT) in underground mines can provide insights into the subsurface deformation and current state of stress. However, reliable estimation of these source parameters is rather challenging due to high-frequency waveforms and a low signal-to-noise ratio for negative magnitude events. We study microseismicity in an underground potash mine in Saskatchewan, Canada, recorded between 1 March and 30 June 2021, by a network of broadband seismometers. The active mining is carried out in low-velocity evaporites at depths of approximately 1 km below the ground level. The theoretical dispersion curves show that guided waves in the form of leaky P and P-SV/SH normal modes can exist in a 1D velocity model representing mine geology. These guided waves are detected as high-energy dispersive arrivals on the seismograms recorded at the underground receivers. We locate the events using the arrival times of the guided waves and their mean group velocities. Most (approximately 80%) of the detected events cluster around the mine layout between depths of 0.95 to 1.05 km. Next, we compute MT for 92 events using waveforms of guided phases. The MT show nondouble-couple components with only 28 events having double-couple percentages greater than 50%. These events occur near mined-out cavities with source mechanisms corresponding to the layer delamination in the roof and floor or pillar yield related to the closure of cavities. No abnormal microseismicity is detected away from the mine levels in the more competent carbonate rocks above or below the evaporite formations. Thus, guided waves enable the detection of microseismic events up to large distances and can provide high-resolution event locations and MT inversion. These can be interpreted in the context of local geology and mining activities to identify the dominant factors affecting microseismicity.
- Geology > Rock Type > Sedimentary Rock (1.00)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Structural Geology > Tectonics > Plate Tectonics > Earthquake (0.94)
- Materials > Metals & Mining (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Europe > Netherlands > Groningen > Southern North Sea - Anglo Dutch Basin > Groningen License > Groningen Field > Upper Rotliegend Formation (0.99)
- Europe > Netherlands > Groningen > Southern North Sea - Anglo Dutch Basin > Groningen License > Groningen Field > Limburg Formation (0.99)
Seventeen companies have been offered a total of 24 licenses in the second round of the North Sea Transition Authority's (NSTA) 33rd oil and gas licensing round. Of the 17 companies, several supermajors including Equinor, BP, Shell, and TotalEnergies secured licenses for 74 blocks and part-blocks in the Central North Sea, Northern North Sea, and West of Shetland areas. Remaining blocks in the Southern North Sea and East Irish Sea will be offered when environmental evaluations are finalized by the UK Offshore Petroleum Regulator for Environment and Decommissioning. These awards follow the 27 licenses offered in the first allocation made in October 2023 which consisted of 931 blocks and part-blocks available in the same locations. The application window closed in January 2023 with 115 bids coming in from 76 companies.
- Europe > North Sea (1.00)
- Europe > United Kingdom > North Sea (0.93)
- Europe > Norway > North Sea (0.93)
- (2 more...)
- Africa > Namibia > South Atlantic Ocean > Orange Basin (0.99)
- Africa > Nigeria > Gulf of Guinea > Niger Delta > Niger Delta Basin > OML 130 (0.98)
- Africa > Angola > South Atlantic Ocean > Lower Congo Basin > PSVM Development Area > Block 31 > Venus Field > Venus Well (0.98)
- (13 more...)
Open data on the SEG Wiki is a catalog of available open geophysical data online. SEG does not own or maintain the data listed on this page. All of the data posted on the Open Data page is free and available to the public. For some uses, you may have to request permission from the company to use the data or meet certain use requirements, but all of the data posted on the wiki is available for public use. In short, you do not need SEG's permission to utilize the open data on the page for your research, thesis, lectures, or presentations. Depending on the data set you use, there may be attribution requirements, permissions to access data, or other specific requests outlined for the individual data sets. This page documents geophysical data that is readily available for download from the internet, via mail, or through special request. Through the support of the Research Committee, this Machine Learning challenge-focused workshop at SEG 2020 (WC-18) will release a seismic training dataset to the public, and invite participants to submit predictions for a blind test dataset, presenting the results and methodology during the workshop. This will be similar in design and spirit to the Chevron FWI imaging Challenge workshops held in the 2012-2014 timeframe – a very successful and popular postconvention workshops. The deadline for the Workshop has passed, but you are still welcome to download and experiment with the data. The data includes a 3D seismic data volume and an accompanying "label" volume consisting of a seismic facies interpretation. You do not need to participate in the workshop to access the data.
- Europe > Netherlands (0.94)
- Asia > Middle East > Yemen (0.94)
- Asia > Middle East > Saudi Arabia (0.94)
- (6 more...)
- Geology > Rock Type (0.47)
- Geology > Geological Subdiscipline (0.46)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (1.00)
- Government > Regional Government > North America Government > United States Government (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Tofte Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Not Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Ile Formation (0.99)
- (26 more...)
Color origin and its sedimentary and paleoenvironmental significance of the Permian-Triassic strata in the Ordos Basin, China
Tan, Cong (Research Institute of Petroleum Exploration and Development) | Yu, Bingsong (China University of Geosciences) | Liu, Ce (Research Institute of Petroleum Exploration and Development) | Cao, Zhenglin (Research Institute of Petroleum Exploration and Development) | Bi, He (Research Institute of Petroleum Exploration and Development) | Jin, Hui (Research Institute of Petroleum Exploration and Development) | Yang, Rongjun (Research Institute of Petroleum Exploration and Development)
Abstract The Permian-Triassic strata in the Ordos Basin deposit a colorful set of strata. Although there have been many studies on oil and gas resources here, little attention has been paid to the genesis mechanism of its color. To analyze the color origin of the Permian-Triassic claystones and to clarify the dialectical relationship between rock color and sedimentary environment, petrological and geochemical methods such as polarization microscope, scan electron microscope, X-ray diffractometer, and inductively coupled plasma-mass spectrometer are used. The results indicate that the minerals with different colors, composition, and content serve as colorants in sedimentary rocks, with the predominant dyeing component in dark claystones being the organic matter, whereas red beds primarily acquire their color from hematite and other ferric minerals. In addition, different rock colors correspond to distinct chemical composition variations. The black-gray rocks of the Yanchang and Shihezi Formations have high total organic carbon content, Fe/Fe, V/Cr, and low CaO/(MgO × Al2O3) and Sr/Cu, whereas the red-brown rocks of the Liujiagou and Heshanggou Formations exhibit the opposite. Therefore, different colors of the rocks stem from their different mineral and chemical compositions, which in turn influenced by the changes in the paleoclimate, paleoenvironment, and tectonic movements. Comprehensive analysis of color, mineral, and chemical composition reveals the evolution process of paleoclimate and paleoenvironment in the Ordos Basin from the late Permian to Triassic, beginning with a warm humid climate characterized by a weak oxidation environment in the Shihezi and Shiqianfeng Formations, transitioning to a hot arid climate in the Liujiagou and Heshanggou Formations, and returning to a warm humid climate with a weak oxidation environment in the Zhifang and Yanchang Formations. This evolution history aligns with the global tectonic and climate evolution. Overall, systematic analysis of sedimentary rock color can provide an important basis for the study of the paleoclimate and paleoenvironment.
- Asia > China > Shanxi Province (0.83)
- Asia > China > Shaanxi Province (0.83)
- Asia > China > Gansu Province (0.83)
- Phanerozoic > Mesozoic > Triassic (1.00)
- Phanerozoic > Paleozoic > Permian > Lopingian (0.34)
- Geology > Structural Geology > Tectonics (1.00)
- Geology > Sedimentary Geology > Depositional Environment (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock (1.00)
- (2 more...)
- North America > United States > Wyoming > Bighorn Basin (0.99)
- North America > United States > Montana > Bighorn Basin (0.99)
- Europe > Netherlands > German Basin (0.99)
- (33 more...)
Color origin and its sedimentary and paleoenvironmental significance of the Permian-Triassic strata in the Ordos Basin, China
Tan, Cong (Research Institute of Petroleum Exploration and Development) | Yu, Bingsong (China University of Geosciences) | Liu, Ce (Research Institute of Petroleum Exploration and Development) | Cao, Zhenglin (Research Institute of Petroleum Exploration and Development) | Bi, He (Research Institute of Petroleum Exploration and Development) | Jin, Hui (Research Institute of Petroleum Exploration and Development) | Yang, Rongjun (Research Institute of Petroleum Exploration and Development)
Abstract The Permian-Triassic strata in the Ordos Basin deposit a colorful set of strata. Although there have been many studies on oil and gas resources here, little attention has been paid to the genesis mechanism of its color. To analyze the color origin of the Permian-Triassic claystones and to clarify the dialectical relationship between rock color and sedimentary environment, petrological and geochemical methods such as polarization microscope, scan electron microscope, X-ray diffractometer, and inductively coupled plasma-mass spectrometer are used. The results indicate that the minerals with different colors, composition, and content serve as colorants in sedimentary rocks, with the predominant dyeing component in dark claystones being the organic matter, whereas red beds primarily acquire their color from hematite and other ferric minerals. In addition, different rock colors correspond to distinct chemical composition variations. The black-gray rocks of the Yanchang and Shihezi Formations have high total organic carbon content, Fe/Fe, V/Cr, and low CaO/(MgO × Al2O3) and Sr/Cu, whereas the red-brown rocks of the Liujiagou and Heshanggou Formations exhibit the opposite. Therefore, different colors of the rocks stem from their different mineral and chemical compositions, which in turn influenced by the changes in the paleoclimate, paleoenvironment, and tectonic movements. Comprehensive analysis of color, mineral, and chemical composition reveals the evolution process of paleoclimate and paleoenvironment in the Ordos Basin from the late Permian to Triassic, beginning with a warm humid climate characterized by a weak oxidation environment in the Shihezi and Shiqianfeng Formations, transitioning to a hot arid climate in the Liujiagou and Heshanggou Formations, and returning to a warm humid climate with a weak oxidation environment in the Zhifang and Yanchang Formations. This evolution history aligns with the global tectonic and climate evolution. Overall, systematic analysis of sedimentary rock color can provide an important basis for the study of the paleoclimate and paleoenvironment.
- Asia > China > Shanxi Province (0.83)
- Asia > China > Shaanxi Province (0.83)
- Asia > China > Gansu Province (0.83)
- Phanerozoic > Mesozoic > Triassic (1.00)
- Phanerozoic > Paleozoic > Permian > Lopingian (0.34)
- Geology > Structural Geology > Tectonics (1.00)
- Geology > Sedimentary Geology > Depositional Environment (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock (1.00)
- (2 more...)
- North America > United States > Wyoming > Bighorn Basin (0.99)
- North America > United States > Montana > Bighorn Basin (0.99)
- Europe > Netherlands > German Basin (0.99)
- (33 more...)
Open data on the SEG Wiki is a catalog of available open geophysical data online. SEG does not own or maintain the data listed on this page. All of the data posted on the Open Data page is free and available to the public. For some uses, you may have to request permission from the company to use the data or meet certain use requirements, but all of the data posted on the wiki is available for public use. In short, you do not need SEG's permission to utilize the open data on the page for your research, thesis, lectures, or presentations. Depending on the data set you use, there may be attribution requirements, permissions to access data, or other specific requests outlined for the individual data sets. This page documents geophysical data that is readily available for download from the internet, via mail, or through special request. Through the support of the Research Committee, this Machine Learning challenge-focused workshop at SEG 2020 (WC-18) will release a seismic training dataset to the public, and invite participants to submit predictions for a blind test dataset, presenting the results and methodology during the workshop. This will be similar in design and spirit to the Chevron FWI imaging Challenge workshops held in the 2012-2014 timeframe – a very successful and popular postconvention workshops. The deadline for the Workshop has passed, but you are still welcome to download and experiment with the data. The data includes a 3D seismic data volume and an accompanying "label" volume consisting of a seismic facies interpretation.
- Europe > Netherlands (0.94)
- Asia > Middle East > Yemen (0.94)
- Asia > Middle East > Saudi Arabia (0.94)
- (6 more...)
- Geology > Rock Type (0.47)
- Geology > Geological Subdiscipline (0.46)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (1.00)
- Government > Regional Government > North America Government > United States Government (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Tofte Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Not Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 128 > Block 6608/10 > Norne Field > Ile Formation (0.99)
- (26 more...)
The context of last year's Well Integrity Technology Focus was the repurposing of existing oil and gas wells for carbon storage, flow-wet material conformity, and associated integrity risks. Typically, oil and gas producing wells are abandoned toward the end of their life cycles with reservoir pressures depleted compared with the virgin pressures. Carbon capture and storage (CCS) projects, however, present different operating conditions. First, the pressurized containment sites have a higher life expectancy, say, between 50 and 100 years. Second, the containment pressure is possibly higher than the virgin pressure. The overpressure limit is dependent on several factors, especially the caprock sealing capacity.
- Europe > United Kingdom > North Sea (0.89)
- Europe > Norway > North Sea > Danish Basin (0.89)
- Europe > Netherlands > North Sea (0.89)
- Europe > Denmark > North Sea > Danish Basin (0.89)
ABSTRACT Wind energy is considered to be of great importance for promoting energy transition and achieving net-zero carbon emission. Reliable modeling and monitoring of the near-subsurface geology are crucial for successful wind farm selection, construction, operation, and maintenance. For optimal characterization of shallow seafloor sediments, 2D ultrahigh-resolution (UHR) seismic survey and 1D cone-penetration testing (CPT) often are acquired, processed, interpreted, and integrated for building 3D ground models of essential geotechnical parameters such as friction. Such a task faces multiple challenges, such as limited CPT availability, strong noise contamination in UHR seismic data, and heavy manual efforts for completing the traditional workflows, particularly acoustic impedance inversion. This study accelerates the integration by a semisupervised learning workflow with three highlights. First, it enables geotechnical parameter estimation directly from UHR seismic data without impedance inversion. The second comes from the use of a pretrained feature engine to reduce the risk of overfitting while mapping massive UHR seismic data with sparse CPT measurements through deep learning. More importantly, it allows incorporating other geologic/geophysical information, such as a predefined structural model, to further constrain the machine learning and boost its generalization capability. Its values are validated through applications to the Dutch wind farm zone for estimating four geotechnical parameters, including cone-tip resistance, sleeve friction, pore-water pressure, and the derived friction ratio, in two example scenarios: (1) UHR seismic data only and (2) UHR seismic data and an 11-layer structural model. The results verify the feasibility of data-driven geotechnical parameter estimation. In addition to the two demonstrated scenarios, our workflow can be further customized for embedding more constraints, e.g., prestack seismic and elastic/static property models, given their availability in a wind farm of interest.
- Geophysics > Seismic Surveying > Seismic Interpretation (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.46)
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (0.34)
- Europe > Netherlands > Groningen > Southern North Sea - Anglo Dutch Basin > Groningen License > Groningen Field > Upper Rotliegend Formation (0.99)
- Europe > Netherlands > Groningen > Southern North Sea - Anglo Dutch Basin > Groningen License > Groningen Field > Limburg Formation (0.99)