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EAGE Conference on the Future of Energy - Role of Geoscience in the Energy Transition
- Conference date: September 12-13, 2023
- Location: Kuala Lumpur, Malaysia
- Published: 12 September 2023
1 - 20 of 28 results
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Sustainable Landfill Transformation Integrating Recovery of Material, Energy and Land Resources
Authors J. Burlakovs, Z. Vincevica-Gaile, M. Fonteina-Kazeka, A. Gaagai, M.N. Azra, R.H. Setyobudi and M. WdowinSummaryProjections of global population increase, consumption patterns and a general desire for welfare directly affect waste generation trends – the issue increasing simultaneously with limited land space, demand for new energy sources, resource depletion and environmental deterioration. Still, landfilling is among the applied waste disposal methods despite the negative ecological, social and economic impact. Besides operating sanitary landfills, millions of hectares are lost to society because of being used for legal waste landfilling or illegal dumping in the past. Closed landfills hide the vast amount of potentially recoverable resources regarding secondary materials (e.g., recycled metals, including highly valuable rare-earth elements) and energy recovery opportunities (e.g., by landfill gas collection and refuse-derived fuel extraction). At the final step, landfill transformation ends with land asset return to societal, economic and ecological needs, particularly considerable for overpopulated regions. This multi-integrational landfill transformation approach is grounded in experimental data and already realized successful revitalization examples. The methodology involves compiling field experiment results, laboratory investigation, life cycle analysis, and up-to-date economic estimations. Research-based outcomes are accountable for tangible and intangible assets expanding their functional applicability at selected case specifics.
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Structural Analysis for Potential CO2 Storage using Artificial Intelligence Seismic Interpretation
Authors M.M. Mohd Jamaludin, H. Wong and P. SzafianSummaryCarbon capture and storage (CCS) projects are essential to achieve the net zero goal for reducing CO2 emissions. Geological characterization of potential storage sites plays a vital role in these projects. Structural challenges specifically associated to faults require analyses for trap definition, well safety, reservoir or aquifer compartmentalization and resulting migration pathways and seal capacity. Advanced seismic interpretation workflows involving artificial intelligence (AI) solutions can be used to address these challenges. In this study, the application of deep-learning Convolutional Neural Networks (CNNs) to identify potential structural traps for CO2 storage using 3D seismic data is presented using the examples from the Smeaheia fault block on the Horda Platform in the northern North Sea. The results showed that AI-based fault detection is a significant improvement compared to traditional methods, enabling more efficient and accurate detection of faults with cleaner, more continuous, and geologically meaningful results, providing unbiased insights in a shorter time. The finalized AI fault results can deliver valuable inputs for subsequent workflow studies such as reservoir compartmentalization, transmissibility analysis, and fluid simulation. This method can increase confidence in fault delineation results and ultimately shorten CCS project timescales.
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Characterization of Ion Adsorbed Clays from weathered granitic Igneous Soil Profiles Using Geophysical Methods, Perak, Malaysia
SummaryCharacterizing ion adsorbed clays is essential for comprehending geochemical processes and hydrogeological properties in weathered granitic igneous soil profiles. This study focuses on employing geophysical methods to investigate the behavior of clay ion adsorption in south Perak, Malaysia. the objective of this study is to measure the resistivity values of subsurface materials and travel time of wave in the subsurface. The ERT method is conducted using various electrode spacing, specifically employing the Wenner array as the electrode configuration. Surface measurements are taken, and the acquired data is processed using a 2-D inverse method and specialized software. Pseudo-sections of apparent resistivity values are generated to visualize the data, followed by computer iterations to create two-dimensional (2-D) resistivity contour maps.
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Evaluation of the Rare Earth Element Resource Potential of Malaysia
Authors S.M. Ibad, Santosh Mishra, Numair Ahmed Siddiqui, Syahrir Ridha and Nisar AhmedSummaryRare earth elements (REE) extraction primarily involves two types of deposits: primary and secondary. Primary deposits are mainly composed of alkaline igneous rocks, carbonatites, and iron-oxide copper-gold deposits. On the other hand, secondary deposits are associated with ion adsorption clays (IAC), laterites, placers, and bauxite. While there are over 250 known rare earth minerals, only a small number, such as xenotime, monazite, and bastnaesite, are economically valuable and processed for REE production.
China has held a significantly dominant position in the global market for REEs, supplying over 90% of the world’s requirements by 2019. However, other countries like Australia, the USA, Russia, Vietnam, Brazil, Malaysia, and India also make notable contributions to global REE production.
Here, we focus on two REE resources found in Malaysia: river sediments and shale deposits. These resources, along with their abundance of REE-containing elements, have been seldom evaluated for their potential as REE sources. By compiling and analyzing the data, we aim to shed light on the availability of these two local upstream sources of REEs in Malaysia.
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Geochemistry of Some Ion-Adsorption Clay Type REE Deposits from South Perak, Malaysia
Authors N. Ahmed, N.A. Siddiqui, M. Adam, S. Ibad, S. Ridha, S. Mishra, A. Azmi, C. Hariz, K. Thamilarasam, I.D. Bin Maarof, M.S. B.M. Rasdi and M.H. B Mat KamalSummaryDue to their unique chemical, magnetic, and luminescent properties, rare earth elements (REE) are necessary for high-tech enterprises. Ion Adsorbed Deposits (IADs) and Ion Adsorption Clays (IACs) are types of REE deposits formed by chemical weathering of REE-rich parent minerals. This study investigated soil profiles associated with the weathering of Late Triassic granitic bodies in the South Perak region of Peninsular Malaysia in order to advance our knowledge of the behaviour and distribution of rare earth elements during granite weathering.
Surface and subsurface samples were collected from eight sites. For laboratory analysis, the samples were dried, pulverised, sieved, and ground to the desired mesh size. In South Perak, there are vast exposures of granitic igneous bodies, and Ion Adsorbed Clays (IACs) contain sufficient concentrations of Rare Earth Elements (REEs) associated with this form of weathered rare earth deposits. At numerous locations, the total REEs content (TREE) exceeds the minimum threshold value of 300 ppm.
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Characterization of Fractures and Karsts in Subis Limestone Buildup, Niah Cave Complex, Sarawak
Authors P.Y. Ong, N.F.I. Salman, S.N.F. Jamaludin and A.H. Abdul LatiffSummaryNaturally fractured carbonate reservoirs (NFCR) in Central Luconia have been considered as potential sites for carbon storage. Modelling the complex NFCR is difficult. Thus, analogue and comparative studies were conducted on Niah-Subis Limestone complex, Sarawak, to reduce the uncertainty in the fracture behaviour for Central Luconia karstified reservoirs. The fractures and karst features of were delineated by integrating the DEM lineament analysis and outcrop observation. Karst features such as dolines, caves, passages, and speleothems are highly influenced by the intersection of fractures, major orientation, and the surface and underground drainage system. In contrast, the karst dissolution also highly impacts the fracture complexity. This study shows that it is important to consider the effect of fractures and karstification during the estimation of potential carbon storage volume in Central Luconia.
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The Role of Geoscience in Rare Earth Elements (REEs) Exploration for Future Energy Technologies
Authors M. Santosh, A. Afifah, M.H. Nabiel, P. Tan Chee, A. M Hariz, A. Nisar, M. Syed Ibad, S. Numair Ahmed and R. SyahrirSummaryRare earth elements (REEs) play a critical role in the development of new energy technologies, including renewable energy sources like wind turbines, electronic industry, solar panels, and electric vehicles. As the world is witnessing energy transition towards a cleaner and more sustainable energy future, the need for reliable and sustainable sources and technologies to extract of these elements has become increasingly important.
Geoscience techniques such as geological mapping, geophysical surveys, geochemical analyses, and remote sensing are used to identify potential REE deposits. These techniques are essential in understanding the geological processes that form REE deposits and their distribution within the Earth’s crust.
In addition to exploration, geoscience also plays a vital role in the exploitation of REE deposits. Understanding the geological and mineralogical characteristics of the ores is essential in developing efficient and sustainable mining and processing methods. Moreover, geoscience provides critical insights into the environmental impact of REE mining and processing.
Hence, geoscience will play a critical role in the exploration and exploitation of REEs. The use of geoscience techniques in the identification, characterization, and extraction of REE deposits is essential in meeting the growing demand for these elements while ensuring their sustainable and responsible production.
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The Comparison of Land, Drone, and Aeromagnetic on Geothermal Investigation
By T. TaufiqSummaryThe magnetic method is one of geophysical method that involves the measurement of the earth’s magnetic field intensity to identify a variation of rock on subsurface. Magnetic method usually used on mineral exploration, archeology, hydrothermal investigation, subsurface structure identification, and preliminary survey on geothermal. Especially on geothermal investigation, as we know, the geothermal system has several important components are needed to build sustainable geothermal energy, such as heat source, reservoir rock (permeable zone), flowing fluid (circulation or convention), geological structure, cap rock, and recharge area. The magnetic method combined with gravity method to identify subsurface structure and alteration mapping on geothermal survey. In this study, we would like to compare between land magnetic method and aero magnetic (drone and aero) method with several parameters like instrument used, acquisition technique, and processing technique. Then, we simulate the operation of geothermal investigation with coverage area 20 x 20 km to obtain the good combination geomagnetic method that can help to increase operational cost efficiency.
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Anomalous Elastic Properties of Mudrocks Bounding Reservoirs with Highconcentrations of Naturally Occurring CO2
Authors T. Jayasangar and M. SamsSummaryVery high concentrations of CO2 have been encountered as carbonic acid in hydrocarbon reservoirs in the Greater Sarawak Basin. Anomalous features in 3D seismic data are found in areas with high CO2 concentrations. These features appear as halos around reservoirs, cutting across stratigraphy, indicating a hardening of the non-reservoir rocks within the envelope of the halo. Elastic log data from wells that pass through and adjacent to these seismic anomalies indicate that mudrocks within the anomalies have higher densities and velocities than would be predicted from locally derived compaction trends. Combinable magnetic resonance measurements indicate that the anomalous properties are the result of lower than-expected capillary-bound microporosities. It is proposed that carbonic acid in the reservoir fluids diffuses into the bounding rocks, causing a loss of porosity. The amount of porosity lost depends on the clay content of the mudrock and the initial level of compaction, with shallower, more clay-rich shales able to lose more porosity. The anomalous seismic signatures result from a sharp transition at the diagenetic front between normal and altered rocks. The alteration can significantly change the amplitude variation with offset response of the reservoirs and therefore the ability to correctly predict fluid phase and reservoir quality.
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Arsenic Gas on Geothermal Area, Part III: Case Study and Correlation with Temperature
By T. TaufiqSummaryGeothermal fluid carries the heavy metal elements to the surface, one of which is arsenic (As). Arsenic can be found naturally in the earth crust, exist on soil and mineral then can be enter on air, water, and surface environment. In the form of gases, Arsenic are associated with temperature of rock, a volatile element, and which only release on high temperature. In this research, we would to study about arsenic characteristic, arsenic mobilization, and the scheme how arsenic gases can be release on surface with several conditions. Based on references, in Chile, at volcanic area, says the arsenic gas content release with the area which have a high temperature and have several conditions on manifestation type. Then from twice validation on different geothermal area on Indonesia, we get same correlation with the references. Based on that, we assume the arsenic gas content on geothermal area is correlated with high temperature of rock, in a general we called it a heat source.
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Risk Based and Proportionate Measure, Monitoring and Verification (MMV) Plan that Meets International Regulations
More LessSummaryA risk-based approach is presented to building conceptual Measure, Monitoring and Verification plans that are proportionate, cost-efficient and meet international regulations.
A Leak-path specific Bow-tie analysis enables us to document and communicate complex risks associated with possible loss of conformance and loss of containment.
A Containment Risk matrix enables to focus on site-specific risks framing a discussion on what technologies should be considered and how they should be deployed.
Naturally, a cost-efficient and proportionate MMV plan can be built.
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Conceptual Models of Hydrogen System: Implications for Natural Hydrogen Exploration
Authors H. Zhao, E. Jones, R.S. Singh, H.H. Ismail and S.W. TanSummaryHydrogen is increasingly recognized as a solution for reducing greenhouse gas emissions. While it is primarily produced through thermochemical and electrochemical processes, natural occurrences of hydrogen in the subsurface have been observed worldwide. This suggests the potential for utilizing natural hydrogen as a green energy source. Studies have shown that natural hydrogen is commonly found in Precambrian cratons, ophiolite belts, and mid-oceanic ridges. However, the geological conditions that determine the presence of effective hydrogen systems in the subsurface are still unclear. This paper aims to summarize current knowledge on natural hydrogen generation, discuss critical geological conditions for hydrogen accumulation, and propose possible hydrogen accumulation models for exploration. Two conceptual models are proposed which accommodate different hydrogen generation mechanisms such as serpentinization, radiolysis, and pyrolysis, and offers a framework for guiding future exploration efforts.
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Machine Learning-Based Enthalpy Prediction Using Geochemical Monitoring Data in Indonesia Geothermal Fields
Authors J.P. Giriarso, A.A. Juanda, N. Muhammad and M. MulyantoSummaryThe monitoring of geothermal fields involves the measurement of steam fraction and enthalpy, which are used to calculate the chemical content of the reservoir. However, flow rate measurement is often problematic, particularly in the absence of buffer wells, making enthalpy determination difficult. To address this challenge, the authors developed data models to predict enthalpy using machine learning based on fluid chemistry data obtained from each well that is periodically sampled. They used more than 600 data with 36 parameters and applied algorithms such as Gradient Boosting Regressor, Random Forest Regressor, Ada Boost, and Deep Neural Network. The evaluation of the machine learning model outcomes showed that Gradient Boosting Regressor produced the most accurate results.
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Geophysical and Geochemical Studies of Weathered Crust from Granitic Rocks in Bukit Pengkalan area, Muar, Johor
Authors M.H. Arifin, A.A. Jamil, M.Z. Ibrahim, S. Say Gee, M. Hj Sibon, Z.F. Salehudin and M.A.A. SulaimanSummaryThe geochemical and geophysical studies were conducted on the weathered crust of granitic rocks in Bukit Pengkalan, Johor in order to assess the ion-adsorption type REE resource potential. Granitic rocks in the studied area consist of coarse grained granite with phaneritic texture with REE content ranging 176–236ppm. Profile of weathered crust P01 can generally be divided into horizon A (upper part) and horizon B (lower part) representing the lateritic horizon and weathered horizon respectively. In comparison, the weathering profile shows high content of Al2O3, Fe2O3 and LOI compare to the parent rocks. Average value of CIA for the weathering profile is 97. Based on La/YbN value, LREE is observed to be enriched toward the upper part of the weathering profile. Geophysical survey of 2D-resistivity has been carried out using Schlumberger protocol which consist of 4 survey line with 400m in length for each line. All survey line shows that the average soil thickness of the area is around 8m indicated by the resistivity value ranging from 400–3000Ωm. Some area shows the present of huge granite boulders near surface indicated by the resistivity value >2400Ωm suggesting that the rock in the area are more resistant to weathering.
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