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Ireland
"How do we move towards a greater societal understanding of what's required to achieve the goals of decarbonization? Building a sustainable society requires everybody, all the citizens, to do a whole bunch of different things, many of which are minor." Murray W. Hitzman, the Director of iCRAG, highlights the energy transition and how to communicate it with the public. With Ireland's advantageous position for harnessing wind and solar power, as well as the untapped potential of geothermal energy, Murray provides a portrait of a country that's not only capable of making significant strides in sustainability but is also a microcosm for global change. This conversation is a powerful reminder that sustainability is a multifaceted issue that requires collaboration, innovation, and a willingness to embrace new challenges.
Andrew Gilmour was a pioneering geophysicist. He is noted as having been the first person to locate a salt dome via gravity gradiometry measurements with a torsion balance. He served as the 1949-1950 SEG President. Andrew Gilmour received his B.Sc. degree from Queen's University, Belfast, Ireland in 1918 and his M.Sc. In 1920 and 1921 he was engaged in research work for the British Admiralty at the Admiralty Laboratories, Teddington, Middlesex, England.
- Europe > Ireland (0.34)
- Europe > United Kingdom > England (0.29)
- Information Technology > Knowledge Management (0.40)
- Information Technology > Communications > Collaboration (0.40)
Geomechanical Analysis of Caprock Integrity and Fault Stability for Greensand CO2 Storage Project Feasibility
Younessi, A. (Baker Hughes, Perth, Australia) | Kรฅrstad, E. (Baker Hughes, Stavanger, Norway) | Basu, P. (Baker Hughes, Aberdeen, United Kingdom) | Larsen, M. (INEOS Energy, Copenhagen, Denmark) | Burachok, O. (Wintershall DEA AG, Kassel, Germany)
Abstract A comprehensive geomechanical assessment is carried out to investigate the upper pressure limit of CO2 injection for the depleted oil Frigg Sand reservoir in Nini field, offshore Denmark. The mechanical stability of the Frigg Sand reservoir, shale caprock and key intersecting faults were investigated under the forecasted CO2 injection plan using a field-scale coupled finite element model built for the target storage reservoir. The field-scale geomechanical model is built by preparing a 3D grid which covers the entire Greensand field structure including the basement and overburden up to the seabed. The geomechanical properties and parameters are constrained using the well-centric data and propagated in 3D grid using geostatistical approach combined with surface seismic data. A finite element model is prepared and coupled with the reservoir flow dynamic model for the interested zone of the studied area. The results of the finite element model are used to investigate the integrity of the caprock and stability of the faults over the life of the field. The results of the finite element simulation shows that the calculated minimum principal stress does not change its state to tension in any part of the field. However, a reservoir pressure above the minimum principal stress magnitude in base of the caprock may increases the risk of failure in the caprock. Hence, considering the uncertainty for the lower bound of the minimum principal stress, the risk of failure in the caprock is low until the Frigg Sand reservoir pressure exceed the estimated threshold pressure. The results also show that there is no risk of shear failure in the caprock for the entire studied area. The fault stability analysis shows that no risk of fault reactivation exists in the overburden. However, some faults may reach the critical stress state in the reservoir with high injection pressures. A reactivation in the reservoir layer may extend to the overburden and increase the risk of caprock integrity failure. Overall, the most critical mode of failure is the possible tensile failure which defines the safe operational limit for the Frigg Sand reservoir. The thorough analysis using field scale finite element simulation coupled to the reservoir flow dynamic helped to capture the risk associated to the CO2 injection operation and optimize the injection plan.
- North America > United States (0.68)
- Europe > United Kingdom > Scotland (0.28)
- Europe > Denmark > North Sea > Danish Sector (0.24)
- Europe > Ireland > Celtic Sea > County Cork > Celtic Sea (0.24)
- Geology > Petroleum Play Type (1.00)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Sandstone (0.96)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock > Shale (0.68)
- Energy > Oil & Gas > Upstream (1.00)
- Government > Regional Government > North America Government > United States Government (0.46)
- Europe > Norway > North Sea > Horda Formation (0.99)
- Europe > Ireland > Celtic Sea > North Celtic Sea Basin > Block 49/21 > Kinsale Field > Greensand Field (0.99)
- Europe > Ireland > Celtic Sea > North Celtic Sea Basin > Block 49/16 > Kinsale Field > Greensand Field (0.99)
- (4 more...)
Independent energy company DNV has announced its acquisition of Enviroguide Consulting, an environmental consultancy based in Dublin, Ireland. DNV said the deal aims to strengthen its foothold in the region and expand its portfolio of environmental solutions. Enviroguide has doubled in turnover over the past 2 years, DNV said, and DNV forecasts it will grow its environmental services further considering Ireland's position as the fastest growing economy in the European Union. Enviroguide delivers environmental and sustainability consultancy services on biodiversity, contaminated land, waste management and licensing, infrastructure planning, and environmental impact assessment services to support sustainable development for public and private sector customers. "Safeguarding biodiversity has become essential for companies driving the energy transition," said Remi Eriksen, group president and CEO of DNV.
- Energy (0.82)
- Social Sector (0.61)
- Government (0.59)
A measure of optimism for the future of hydrogen as a major source of energy has been dashed in a new report from DNV. In its first-ever standalone hydrogen forecast, the Norwegian-based assurance and risk management firm projects the clean-burning gas may reach 0.5% of the global energy mix by 2030 before rising to 5% by 2050. This order of magnitude increase will mark the rise of a new industry--hydrogen for energy use. But it will also fall far short of the at least 13% share of global energy mix that DNV said hydrogen must represent to meet net-zero emissions targets that are based around the Paris Agreement. "What our report shows is that there is an increase in the use of hydrogen, but it's just not fast," said Hari Vamadevan, a UK and Ireland regional director at DNV.
- Europe > United Kingdom (0.30)
- Europe > Ireland (0.25)
Abstract This paper describes the application of machine-learning techniques for unlocking the full potential of nuclear magnetic resonance (NMR), using a case study from the Seven Heads gas field. This field has long been recognized but was not developed due to a variety of technical challenges, including the thin-bedded nature of the sediments and the presence of both mobile and immobile viscous residual oil. The oil is a highly viscous liquid which, if produced, could block production tubing due to the shallow depth of the reservoir and associated low pressures. To produce dry gas successfully, identification of both oil and gas zones was necessary to enable gas zones to be perforated and oil zones to be excluded. During the development drilling campaign, the reservoir was appraised using a formation evaluation program specifically designed to address the presence of oil within the thinly bedded reservoir. In conjunction with core data and high-resolution electric logs, NMR logs were used to identify and avoid perforating zones with higher oil saturations. Formation fluid types were derived from the NMR using a pattern recognition technique that analyzes the entire shape of the T1 and T2 distributions to derive the volumes of gas, oil, and water. This machine-learning technique was calibrated using Dean and Stark fluid analysis data and enabled the prediction of continuous water, gas, and oil saturation curves. The results were used to ensure that the perforation strategy avoided oil-bearing sands. This paper describes how the NMR, together with machine learning, has enabled a complex tight gas field to be developed.
- North America > United States > Texas (0.68)
- Europe > Ireland > Celtic Sea > County Cork > Celtic Sea (0.24)
- Geology > Sedimentary Geology > Depositional Environment (0.68)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Sandstone (0.47)
- Europe > Norway > Norwegian Sea (0.99)
- Europe > Ireland > Celtic Sea > North Celtic Sea Basin > Block 49/21 > Kinsale Field > Seven Heads Field (0.99)
- Europe > Ireland > Celtic Sea > North Celtic Sea Basin > Block 49/16 > Kinsale Field > Seven Heads Field (0.99)
- (4 more...)
- Information Technology > Artificial Intelligence > Machine Learning > Evolutionary Systems (0.47)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Expert Systems (0.47)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Rule-Based Reasoning (0.46)
Characterization and location of flow-induced seismic signals in karst using passive seismic (Sixth International Conference on Engineering Geophysics, Virtual, 25โ28 October 2021)
Ali, Haleh Karbala (Dublin Institute for Advanced Studies) | Bean, Christopher J. (Dublin Institute for Advanced Studies)
Detecting and quantifying water flow structures in heterogeneous karst through geophysical imagery of karst structures, is open to large uncertainties. Here we determine that subterranean flow-induced seismic signal originating in karst subsurface water pathways such as fractures, conduits and caves can be detected as persistent frequencies on spectrograms. Conducting passive seismic surveys on two karst sites with shallow and deep conduits shows that these frequencies are site dependent, and differ from what might be expected from surface water flow in rivers. We apply an amplitude-based location method to locate this flow-induced micro-tremor. Numerical simulation of the elasto-acoustic wave propagation in a simplified karst model shows that resonance plays an important role, excited by specific frequencies in the flow-related seismic spectrum. This study introduces a novel approach for detecting the flowing structures in karst by directly imaging the source itself rather than inferring flow pathways through geophysical imaging of karst structures.
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Passive Seismic Surveying (0.88)
- 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)
Equinor will sell its nonoperated equity position in the Corrib gas project in Ireland to Vermilion Energy for $434 million. The sale of Corrib results in Equinor no longer having an active business presence in Ireland, after also deciding to withdraw from an early- phase offshore wind project in the country. The Corrib field started production in 2015 and is located 83 km off Ireland's northwest coast in water depths of almost 350 m. The equity gas volumes to Equinor for 2021 are estimated at around 58 MMcf/D. As part of the transaction, Equinor and Vermilion have agreed to hedge approximately 70% of the production for 2022 and 2023 and have also agreed a contingent payment that will be paid on a portion of the revenue if European gas prices exceed a given floor level.
- Europe > Ireland > County Mayo > Slyne Trough > North Atlantic Ocean > Slyne Trough > Deepwater License 2/93 > Corrib Gas Project (0.99)
- Europe > Ireland > County Mayo > Slyne Trough > North Atlantic Ocean > Slyne Trough > Deepwater License 2/93 > Corrib Field (0.99)
Target-oriented inversion using the patched Greenโs function method
da Silva, Danyelle (Universidade Federal do Rio Grande do Norte) | Duarte, Edwin Fagua (Universidade Federal do Rio Grande do Norte) | Almeida, Wagner (Universidade Federal do Rio Grande do Norte) | Ferreira, Mauro (Trinity College Dublin, Trinity College Dublin) | Moura, Francisco Alirio (Universidade Federal do Rio Grande do Norte) | de Araรบjo, Joรฃo Medeiros (Universidade Federal do Rio Grande do Norte)
ABSTRACT We have designed a target-oriented methodology to perform full-waveform inversion (FWI) using a frequency-domain wave propagator based on the so-called patched Greenโs function (PGF) technique. Originally developed in condensed matter physics to describe electronic waves in materials, the PGF technique is easily adaptable to the case of wave propagation in spatially variable media in general. By dividing the entire computational domain into two sections, namely the target area and the outside target area, we calculate the Greenโs functions related to each section separately. The calculations related to the section outside the target are performed only once at the beginning of the inversion, whereas the calculations in the target area are performed repeatedly for each iteration of the inversion process. With the Greenโs functions of the separate areas, we calculate the combined Greenโs function of the two systems patched together through application of a recursive Dyson equation. The calculation is exact; that is, it is the same as the Greenโs function calculated by directly solving the Helmholtz equation. By performing 2D and time-lapse experiments on the Marmousi and a Brazilian presalt velocity models, we determined that the target-oriented PGF reduces the computational time of the inversion without compromising accuracy. In fact, when compared with conventional FWI results, the PGF-based calculations are identical but done in a reduced time according to the target size.
- South America > Brazil (0.28)
- Europe > Ireland (0.28)
Dynamic Reservoir Analysis of Corrib Field Surveillance Data Through the Use of Advanced Deconvolution Techniques
Thatcher, Alexander (Oilfield Production Consultants - Aberdeen) | Colleran, Peter (Nephin Energy Limited) | Roberts, William (Consultant) | Johnson, Piers J. (Oilfield Production Consultants - London)
Abstract This paper presents an analysis of the Corrib field surveillance dynamic pressure and rate data. The Corrib field, on production since December 2015, is a gas reservoir developed with six wells. The field static gas initially in place (GIIP) is around 1.2 Tcf of dry gas and the reservoir is comprised of a complex heterogeneous sandstone consisting of a high net to gross sequence of low sinuosity braided fluvial channel, sheet sand, playa and sandflat facies of varying reservoir quality (from single to hundreds of millidarcys) with an abundance of mapped faults. The dynamic reservoir analysis approach used in this study is based on a form of pressure-rate deconvolution that has been presented in an earlier paper SPE-195441 for the Tamar field, Israel. The pressure transient analysis (PTA) software that implements this analysis capability handles both singlewell and multi-well analysis problems. From a preliminary review of Corrib field dynamic behavior, it was concluded that this field data can be analyzed using single-well pressure-rate deconvolution applied to the data of each reservoir well separately. This contrasts with the Tamar field that required a true multiwell deconvolution analysis approach. Different approaches in these cases are dictated by the differences in reservoir architecture, geology, offtake strategy and the character of connectivity across these two fields. There are several pressure-rate deconvolution algorithms implemented in different PTA software tools used in the industry. All these algorithms implement a form of automatic regression and are sensitive to the quality of pressure and rate data that serve as input into the deconvolution algorithm. These automatic algorithms are often not robust enough to be used with surveillance type data acquired during long term production operations. The deconvolution approach used in this work is not automatic and, as a result, the deconvolution results are not as sensitive to the data quality. Rather, it relies on specialized software that facilitates manual reconstruction of constant rate drawdown responses. This human approach in combination with specialized software allows an engineer not to just reconstruct a drawdown response but to "explore" the pressure and rate data to develop significant insights of the dynamic reservoir behavior. This deeper understanding is an additional advantage over automated techniques and is the purpose of reservoir analysis. The Corrib field analysis discussed in this paper is a demonstration of what can be achieved using this combination of human intelligence and specialized software tools. Demonstration of the workflow used for manual reconstruction of deconvolved response functions and the role of the specialized software used that implements this workflow is explained. In the course of this reconstruction, an "exploration" process of trying to reconstruct the transient pressure behavior reflected in the data is engaged/utilized. Once reconstructed, this response is interpreted in terms of reservoir and well properties. The end result of this investigation is a deep understanding of the Corrib gas field dynamic behavior not easily obtained from conventional PTA methods. For example, it shows that early production data clearly exhibit signs of interference between wells. However, once the field production drops off the plateau period and the well production starts to decline, the six producing wells dynamically divide the reservoir into separate drainage areas and the well interference in a way "disappears" - the wells behave as if each of them produces from its own drainage compartment. This allows pressure rate deconvolution on a single-well basis, based on each compartment instead of using multi-well deconvolution on the field as a whole. The pore volume of each such compartment is reflected in the late time pressure behavior of the respective drawdown response associated with the well data. The sum of these individual pore volumes per well in the field yields the total pore volume connected to the wells that is supported by the reservoir dynamic behavior. These insights are reinforced by the use of synthetic models to provide clarity and understanding of the drainage compartment theory used during Corrib analysis.
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Sandstone (0.48)
- Geology > Geological Subdiscipline (0.46)
- Geology > Structural Geology > Tectonics (0.46)
- Europe > Ireland > County Mayo > Slyne Trough > North Atlantic Ocean > Slyne Trough > Deepwater License 2/93 > Corrib Field (0.99)
- Asia > Middle East > Israel > Mediterranean Sea > Southern Levant Basin > Matan License > Tamar Field > Tamar Sands Formation (0.99)