Advances in machine learning-driven pore pressure prediction in complex geological settings

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(7), P. 1648 - 1665

Published: July 25, 2024

Advances in machine learning (ML) have revolutionized pore pressure prediction complex geological settings, addressing critical challenges oil and gas exploration production. Traditionally, predicting accurately heterogeneous anisotropic formations has been fraught with uncertainties due to the limitations of conventional geophysical petrophysical methods. Recent developments ML techniques offer enhanced precision reliability estimation, leveraging vast datasets sophisticated algorithms analyze interpret complexities. ML-driven approaches utilize a variety data sources, including well logs, seismic data, drilling parameters, train predictive models that can handle non-linear multi-dimensional nature subsurface conditions. Techniques such as neural networks, support vector machines, ensemble methods shown significant promise capturing intricate relationships between variables pressure. These adaptively learn from new improving their capabilities over time. A notable advantage is its ability integrate disparate types scales, providing holistic understanding regimes. This integration enhances accuracy forecasts, which crucial for wellbore stability, safety, hydrocarbon recovery. For instance, real-time operations be fed into dynamically update estimates, allowing immediate adjustments plans reducing risk blowouts or other hazards. Moreover, facilitate identification subtle patterns trends might overlooked by traditional capability particularly valuable deep-water environments, tectonically active regions, unconventional reservoirs, where often fall short. Despite promising advances, remain widespread adoption prediction. include need extensive training datasets, interpretability models, workflows existing geoscientific practices. Addressing these requires interdisciplinary collaboration geoscientists, scientists, engineers develop robust, user-friendly solutions. In summary, represents advancement managing complexities geology. By enhancing reliability, technologies are poised improve efficiency, productivity industry, challenging settings. Keywords: Advance, ML, Pore Pressure, Prediction, Geological Settings.

Language: Английский

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Advances in rock physics for pore pressure prediction: A comprehensive review and future directions

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(7), P. 2304 - 2322

Published: July 24, 2024

Advances in rock physics have significantly enhanced pore pressure prediction, a critical aspect of subsurface exploration and drilling operations. This comprehensive review delves into the latest developments methodologies, integrating empirical, theoretical, computational approaches to predict more accurately. Traditional prediction methods often rely on well log data seismic attributes, but recent advancements introduced innovative techniques that leverage physical properties rocks provide reliable predictions. Key advances include development improved models better account for complexities environments, such as heterogeneity anisotropy. These integrate from various sources, including logs, core samples, surveys, create understanding subsurface. Additionally, application machine learning artificial intelligence has opened new avenues analyzing large datasets, identifying patterns, refining predictive models. also examines role laboratory experiments field studies validating calibrating High-pressure high-temperature provided valuable insights behavior under different conditions, which are essential accurate prediction. Field studies, other hand, offer real-world help fine-tuning methodologies. Future directions integration advanced geophysical techniques, full-waveform inversion distributed acoustic sensing, higher resolution detailed imaging. The use cloud computing high-performance platforms is expected enhance processing analysis making efficient scalable. concludes by highlighting importance interdisciplinary collaboration advancing By combining expertise geophysics, petrophysics, geomechanics, science, can continue innovate improve accuracy reliability predictions, ultimately enhancing production efficiency oil gas industry. Keywords: Advances, Rock Physics, Pore Pressure, Prediction, Directions.

Language: Английский

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Effective waste management in construction: Techniques and implementation

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1642 - 1652

Published: Aug. 11, 2024

This review paper examines the critical issue of waste management in construction industry, focusing on techniques for reducing and managing waste. It begins by highlighting importance management, outlining significant environmental economic impacts waste, setting research objectives. The then categorizes types identifies primary sources these wastes. Effective reduction are discussed, including prevention, reuse, recycling, sustainable practices. regulatory policy frameworks governing analyzed, international local policies. Best practices implementation, illustrated through successful case examples, provided, along with roles various stakeholders. impact modern technologies innovations, such as Building Information Modeling (BIM) Internet Things (IoT), is explored. Finally, addresses current challenges provides recommendations future improvements, emphasizing need collaborative efforts among industry Keywords: Construction Waste Management, Sustainable Construction, Reduction Techniques, (BIM), Recycling Reuse.

Language: Английский

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Theoretical advancements in operational petrophysics for enhanced reservoir surveillance

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2576 - 2588

Published: Aug. 22, 2024

Operational petrophysics has significantly evolved through theoretical advancements, enhancing the accuracy and efficiency of reservoir surveillance. This review paper explores foundational concepts petrophysics, including key parameters such as porosity, permeability, fluid saturation, examines models advancements that have shaped modern practices. It highlights impact innovative tools technologies, digital rock physics, advanced well logging, real-time monitoring systems, on improving data resolution. The also discusses emerging trends, integration artificial intelligence machine learning, addresses challenges limitations facing field, high costs quality issues. Recommendations for future research are provided to address these enhance field's capabilities. By summarizing ongoing challenges, this underscores significance progress in optimizing management ensuring efficient hydrocarbon recovery. Keywords: Petrophysics, Reservoir Surveillance, Digital Rock Physics, Real-time Monitoring, Machine Learning, Data Accuracy.

Language: Английский

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Novel petrophysical considerations and strategies for carbon capture, utilization, and storage (CCUS)

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2548 - 2561

Published: Aug. 22, 2024

Carbon Capture, Utilization, and Storage (CCUS) is a critical technology for mitigating climate change by capturing CO? emissions from industrial sources storing them in geological formations. This paper explores novel petrophysical considerations strategies enhancing CCUS implementation. These advanced techniques are inputs into the five pillars that govern successful execution of projects. They are: capacity, Containment risk analysis (CRA), Injectivity, Monitoring, Measurement & Verification (MMV) Stake holder management. use logging such as high-resolution imaging, digital rock physics, nuclear magnetic resonance (NMR), to provide detailed insights reservoir properties, facilitating more accurate estimation storage capacity Injectivity. The integration machine learning artificial intelligence enhances data interpretation, optimizing site selection, containment monitoring processes. challenges opportunities unconventional reservoirs, including tight formations shale also addressed. Effective involve thorough selection characterization, injection techniques, comprehensive assessment mitigation, supportive economic policy frameworks. Emerging technologies interdisciplinary collaboration essential long-term sustainability success Future research needs include understanding behavior various settings, developing cost-effective capture technologies, improving public perception social acceptance. underscores importance an integrated approach CCUS, leveraging technological advancements collaborative efforts combat change. Keywords: (CCUS), Petrophysical Techniques, (MMV), Risk Assessment.

Language: Английский

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Conceptual framework for integrating petrophysical field studies to optimize hydrocarbon recovery

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2562 - 2575

Published: Aug. 22, 2024

This paper presents a conceptual framework for optimizing hydrocarbon recovery by integrating petrophysical field studies with geological and engineering data. The is designed to enhance the accuracy of reservoir characterization improve decision-making processes in exploration production. Key components include systematic collection integration data, development static dynamic models, application advanced technologies such as artificial intelligence (AI) machine learning (ML). By offering more comprehensive understanding properties behavior, allows precise well placement, tailored production strategies, effective implementation enhanced techniques. potential impact this on success rates efficiency significant, promising reduce operational risks increase rates. Furthermore, discusses challenges associated data model validation, providing solutions suggesting future research directions refine further framework. Integrating emerging highlighted critical advancing framework's capabilities, ensuring its relevance an evolving energy landscape. Keywords: Hydrocarbon Recovery, Petrophysical Studies, Reservoir Characterization, Data Integration, Advanced Technologies.

Language: Английский

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Best practices and innovations in core/logging contract management: A theoretical review

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1902 - 1915

Published: Aug. 21, 2024

Core/logging contract management is a critical aspect of the resource extraction industry, involving meticulous drafting, negotiation, execution, and monitoring contracts related to geological sampling logging activities. This review explores best practices innovations in core/logging management, highlighting importance clear comprehensive effective risk strategies, rigorous performance monitoring, adherence legal compliance standards. Additionally, integrating technological advancements such as digital systems, blockchain, data analytics examined, along with innovative process improvements incorporating sustainable practices. Despite benefits these innovations, challenges remain, including regulatory complexities, issues, need for enhanced stakeholder collaboration. Future trends point towards increased adoption twins, smart contracts, advanced analytics, emphasizing necessity continuous adaptation proactive management. By adopting embracing practitioners can enhance efficiency, transparency, reliability ultimately leading more successful project outcomes. Keywords: Risk Technological Sustainable practices, Data analytics.

Language: Английский

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