Preprints
Filtering by Subject: Engineering
Spatial Clustering and Reservoir Analysis: An Expert-Guided Synergy Dynamic Time Warping (DTW) Machine Learning Technique on Volve and Norne Fields
Published: 2025-12-23
Subjects: Earth Sciences, Engineering, Geology, Geotechnical Engineering, Other Earth Sciences, Physical Sciences and Mathematics, Sedimentology
This study introduces an expert-guided application for clustering production wells using Machine Learning (ML), focusing on the Volve and Norne Field datasets to optimise reservoir analysis and decision-making. The Dynamic Time Warping (DTW) algorithm was employed for clustering and further enhanced by spatial visualisation through Voronoi polygons on topographic maps. The study presents a [...]
A Rapid Analytical Method for Predicting Injection Rates in Heterogeneous Reservoirs
Published: 2025-12-17
Subjects: Engineering
Maximum injection rate is a key criterion when screening subsurface hydrocarbon reservoirs or aquifers for possible EOR schemes or storage of hydrocarbon gas, hydrogen or carbon dioxide. It has to be high enough to achieve desired rates without risking the formation fracturing. Screening requires evaluation of thousands or millions of potential injection sites to identify those with favourable [...]
A scoping review of spatiotemporal ConvLSTM applications for predicting water balance components
Published: 2025-12-10
Subjects: Engineering
Deep learning is renewing computational hydrology by offering advanced capabilities for modeling complex environmental processes characterized by spatiotemporal variability. Among these approaches, the Convolutional Long Short-Term Memory (ConvLSTM) network has gained considerable attention for its ability to learn spatial and temporal dependencies simultaneously, a feature particularly valuable [...]
Web-Based Dynamic Flood Susceptibility Mapping: Leveraging Fuzzy Logic for Interactive Analysis
Published: 2025-12-05
Subjects: Engineering
Flooding is one of the most frequent and devastating natural disasters, resulting in significant global social, environmental, and economic consequences. Performing comprehensive flood risk assessments is essential for comprehending community exposure and susceptibility to floods while facilitating the formulation of mitigation plans. This study presents a web-based framework for flood [...]
Computation to Choose a Future: Planetary Stewardship in the Age of AI
Published: 2025-11-26
Subjects: Engineering, Physical Sciences and Mathematics
The accelerating transformations of the Anthropocene demand governance systems capable of anticipating and steering complex, nonlinear Earth-system dynamics. Existing models optimize for likely trajectories rather than exploring a broader set of futures. This commentary introduces the concept of Computational Foresight (CF): an integrative framework combining artificial intelligence, simulation, [...]
Barrier vulnerability following outwash: A balance of overwash and dune gap recovery
Published: 2025-11-23
Subjects: Engineering, Physical Sciences and Mathematics
Existing barrier evolution models only simulate storm impacts from landward-driven flows (overwash), neglecting the impacts of seaward-directed flows (outwash). Here, we modify an existing model to incorporate outwash processes. We find that outwash enhances barrier vulnerability (the tendency to drown) over decadal timescales by scarring the island interior, creating lower, narrower landforms. [...]
MiniSat: Prototype for Geological and Environmental Monitoring Using Low-Cost Embedded Systems with RF Communication
Published: 2025-11-22
Subjects: Engineering
This review paper presents a concise analysis of Minisat-based geological monitoring systems that combine low-cost embedded platforms with RF communication technologies. It highlights recent advances in miniaturized satellites and compact sensor nodes that enable affordable, continuous environmental monitoring. The paper reviews key components including embedded electronics, sensor integration, [...]
Attention-Based Deep Learning for Runoff Forecasting: Evaluating the Temporal Fusion Transformer Against Traditional Machine Learning Models
Published: 2025-11-20
Subjects: Engineering, Life Sciences
Reliable runoff forecasting is critical for water management and flood preparedness in Nepal’s steep, data-scarce catchments. Traditional models such as SWAT provide process insights but demand extensive calibration and detailed inputs often unavailable in such regions. Recent advances in attentionbased deep learning offer new opportunities to capture temporal dependencies with improved [...]
Thermal Power and Climate Change: A Data-Driven Analysis of Cause and Effect, 1800-2100
Published: 2025-11-20
Subjects: Education, Engineering, Life Sciences, Physical Sciences and Mathematics, Social and Behavioral Sciences
Since 2020, global politics have shifted sharply to the right—nowhere more visibly than in the United States and Europe. By 2024, this rightward turn in the U.S. culminated in open climate-change denial, the defunding of clean-energy initiatives, and a widespread rejection of scientific evidence. Major domestic and international institutions—NOAA, NASA, the U.S. Weather Bureau, EPA, USDA, FDA, [...]
Power play: A multi-criteria analysis of present and future battery technologies
Published: 2025-11-20
Subjects: Engineering
Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures
Published: 2025-11-13
Subjects: Education, Engineering, Life Sciences, Physical Sciences and Mathematics
The prediction of Intensity Measures (IMs) using Ground-Motion Models (GMMs) is a fundamental component of seismic hazard assessment. However, the best estimation of IMs traditionally requires specialised searchers, programming expertise, and the manual sourcing of regression coefficients. This complexity creates a significant barrier to rapid, scenario-based analysis for engineers, researchers, [...]
Multi-Agent Geophysical AI Workflow for Automated Reservoir Characterization
Published: 2025-11-06
Subjects: Artificial Intelligence and Robotics, Computational Engineering, Computer Sciences, Earth Sciences, Engineering, Geophysics and Seismology
Traditional geophysical workflows like reservoir characterization are driven in a collaborative manner where teams of geoscientists share their individual analyses to inform key decisions made by executives. However, these workflows are repetitive, time-consuming, prone to human error, and introduce subjective bias. While researchers have used automation to address these limitations via deep [...]
Emerging AI Solutions for Hazardous PET Waste in Marine Environments: A Review of Underexplored Paradigms
Published: 2025-11-06
Subjects: Engineering
Polyethylene terephthalate (PET) pollution, due to its persistence, chemical recalcitrance, and widespread usage, represents a growing hazard to marine ecosystems. Its accumulation contributes to long-term ecotoxicological risks, food chain contamination, and environmental degradation. Addressing this challenge necessitates the adoption of scalable, efficient, and intelligent strategies for [...]
HydroQuantum: A new quantum-driven Python package for hydrological simulation
Published: 2025-10-31
Subjects: Education, Engineering
Fallowed Heat Island: High surface temperature from fallowed agricultural lands increases nearby water demand and reduces crop yield.
Published: 2025-10-25
Subjects: Engineering, Life Sciences
Agricultural land fallowing is a practice of temporarily idling farmlands to maximize soil water storage, restore plant nutrients, and minimize soil erosion hazards. Despite the benefits of land fallowing, it remains unclear to what extent it affects nearby crop productivity. Here, we show that one such effect is through the fallowed heat island, a concept similar to urban heat island, whereby [...]