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Preprints

Filtering by Subject: Oil, Gas, and Energy

Access to Monitoring Data Reduces Methane Intensity at Operational Oil and Gas Facilities

Caroline Alden, Doug Chipponeri, David Youngquist, et al.

Published: 2025-11-20
Subjects: Environmental Monitoring, Oil, Gas, and Energy

Methane intensity is defined as methane gas emitted to the atmosphere per oil and gas product throughput at various steps in the supply chain. It is the standard metric used by industry stakeholders to assess methane emissions performance. Many studies have assessed the capabilities of methane emission measurement systems, but no studies have quantified the effect on methane intensity of oil and [...]

Quantification Error Model for Aerial LiDAR Methane Emission Rate Estimates

Cameron D. Dudiak, Devin B Goodwin, Dominic Altamura, et al.

Published: 2025-11-11
Subjects: Applied Statistics, Environmental Monitoring, Oil, Gas, and Energy, Statistical Models

Accurate characterization of methane emission rate quantification error (QE) is essential for building measurement-based emissions inventories that benchmark emissions, guide mitigation, and satisfy reporting frameworks such as OGMP 2.0. Previous studies have summarized QE using distributions of errors from controlled release experiments, but with limited consideration of environmental conditions [...]

Accelerating Geothermal Modeling with Low- and High-Fidelity Fourier Neural Operators

James W. Patterson

Published: 2025-11-10
Subjects: Artificial Intelligence and Robotics, Oil, Gas, and Energy

Geothermal reservoir models are costly to build and calibrate, and generating a single forecast can take hours. Operators tasked with field planning and optimization are constrained by the speed of these forecast simulations, limiting the number of scenarios they can explore. Machine learning can be a powerful tool to speed up computationally expensive tasks, but standard approaches using Neural [...]

Methane by the Numbers: The Need for Clear and Comparable Methane Intensity Metrics

Matthew R Johnson, Bradley Conrad, Daniel J. Zimmerle, et al.

Published: 2025-10-19
Subjects: Natural Resource Economics, Natural Resources Management and Policy, Oil, Gas, and Energy

Global efforts to track methane emissions from oil and natural gas operations have recently converged around measures of methane emissions intensity, including emergent requirements for reporting as part of import standards. However, multiple definitions of methane intensity have led to conflicting approaches that hinder clear comparisons among regions and obstruct the development of effective [...]

3D surface displacement estimation over the Groningen gas field, the Netherlands

Wietske S Brouwer, Ramon Hanssen

Published: 2025-08-28
Subjects: Earth Sciences, Environmental Monitoring, Geophysics and Seismology, Mining Engineering, Oil, Gas, and Energy

Since 1964, the Groningen gas field in the Netherlands has experienced significant subsidence due to gas extraction. Although InSAR has been widely used to estimate the vertical displacements of the field, capturing the full three-dimensional deformation, including omnidirectional horizontal components, remained a challenge and has only been achieved from spatially sparse GNSS observations. The [...]

Geomodelling of multi-scenario non-stationary reservoirs with enhanced GANSim

Suihong Song, Tapan Mukerji, Celine Scheidt, et al.

Published: 2025-08-05
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Earth Sciences, Engineering, Geology, Geophysics and Seismology, Hydrology, Mining Engineering, Natural Resources and Conservation, Natural Resources Management and Policy, Oil, Gas, and Energy, Sedimentology, Stratigraphy

Reservoir geomodelling is critical for groundwater management, CO₂ storage, geothermal exploitation, and hydrocarbon exploration, yet traditional geostatistical methods like multiple-point statistics (MPS) struggle with simulating complex geological patterns. GANSim, a Generative Adversarial Networks-based geomodelling method, has proven effective for single-scenario stationary reservoirs, but [...]

Assessing uncertainty of source rock properties using Monte Carlo basin modeling – Application to Canning Basin, Australia

Jiayuan Huang, Tapan Mukerji

Published: 2025-07-23
Subjects: Applied Statistics, Earth Sciences, Engineering, Environmental Sciences, Geochemistry, Geology, Geophysics and Seismology, Oil, Gas, and Energy, Physical Sciences and Mathematics, Risk Analysis, Statistics and Probability, Stratigraphy

This study presents a Monte Carlo basin modeling framework for quantifying uncertainty in source rock property predictions by integrating geological, geophysical, and geochemical inputs. The approach accounts for variability in petrological parameters from rock physics inversion, paleo-erosion magnitudes, organic facies properties, and boundary conditions to simulate source rock properties such [...]

Screening Global Solar and Wind Energy Investment Potential Accounting for Drought and Surplus

Mengjie Zhang, Adam Nayak, Upmanu Lall

Published: 2025-07-14
Subjects: Environmental Engineering, Oil, Gas, and Energy, Risk Analysis, Sustainability

Climate-induced variability of solar and wind energy impacts renewable electricity scaling. Long duration renewable energy droughts, i.e., extended periods of renewable supply deficits, lead to contract penalties or use of thermo-electric sources, while long duration surpluses result in curtailment or in low energy prices and revenue. We present the first global assessment of the implied [...]

Satellite-based assessment of methane emissions from the Darvaza gas crater

Adriana Valverde, Itziar Irakulis-Loitxate, Javier Gorroño, et al.

Published: 2025-06-20
Subjects: Atmospheric Sciences, Environmental Monitoring, Environmental Sciences, Oil, Gas, and Energy

Methane (CH₄) is one of the most potent greenhouse gases, and the gas-burning Darvaza crater in Turkmenistan is a rare and persistent emitter. There are substantial uncertainties regarding the date of the crater formation (assumed to be either in 1963 or 1971), the ignition of the fire, and the relation between the fire intensity and methane release. In this study, we reconstruct the fire history [...]

Extrapolation Approaches for Creating Comprehensive Measurement-Based Methane Emissions Inventories

Bailey K. Fosdick, Zachary Weller, Hon Xing Wong, et al.

Published: 2025-06-07
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Oil, Gas, and Energy

Measurement-based methane emissions inventories are essential for U.S. oil and natural gas operators to track their progress toward emissions targets, demonstrate the impact of improved operational and monitoring practices, and enable the scientific community to monitor methane budgets at various scales. However, translating raw emission measurement data, whether from continuous monitoring [...]

Time shift: The peak reduction potential of demand response with simple time-of-use pricing

Baxter Kamana-Williams, R. J. Hooper, Daniel Gnoth, et al.

Published: 2025-05-15
Subjects: Engineering, Oil, Gas, and Energy, Sustainability

Increasing electrification of energy systems, required for greenhouse gas emissions reductions, poses challenges for electricity systems from increased peak demand. Demand response can reduce peak demand, but acceptability is limited by consumer concerns about effort, complexity, and lack of control. This study assesses the potential of simple demand response programs using existing electricity [...]

Peak loads, health, and energy equality. The effects of demand-side electricity efficiency interventions

Baxter Kamana-Williams, R. J. Hooper, Jamie Silk, et al.

Published: 2025-05-15
Subjects: Engineering, Oil, Gas, and Energy, Sustainability

Electrification is key for climate change mitigation but, if unmanaged, risks increasing energy poverty, inequalities, and peak electricity demand. While demand response to reduce peak electricity demand has been the subject of extensive research, the effects of energy efficiency interventions for wider health system and socioeconomic outcomes are less studied. This study assesses the impact of [...]

Peak demand, consumer costs, and socioeconomic effects: Considerations for distributed generation and energy storage

Baxter Kamana-Williams, R. J. Hooper, Stella Steidl, et al.

Published: 2025-05-15
Subjects: Engineering, Oil, Gas, and Energy, Sustainability

Electrification is a key approach for reducing greenhouse gas emissions but will increase peak demand, challenging electricity systems. Distributed generation (DG) from solar photovoltaic (PV) panels and battery storage are often offered as potential solutions. This study uses a previously validated agent-based model of residential electricity demand to assess the impact of solar DG on peak [...]

PoMELO Passive Blind Test Results: Emissions detection and quantification

Thomas Barchyn, Michelle Clements, Tyler Gough, et al.

Published: 2025-02-19
Subjects: Environmental Monitoring, Oil, Gas, and Energy, Operations Research, Systems Engineering and Industrial Engineering

PoMELO Passive is a technology that combines vehicle-based pollution measurements from public roads with cloud-based software to: (i) detect emissions from oil and gas sites, and (ii) quantify emissions rates. Automated attribution and plume modeling algorithms provide results with little human intervention, facilitating large scale monitoring programs. PoMELO Passive is operationally deployed at [...]

Enhanced Oil Recovery using carbon dioxide directly captured from air does not enable carbon-neutral oil

Antonio Gasos, Ronny Pini, Viola Becattini, et al.

Published: 2025-01-23
Subjects: Chemical Engineering, Environmental Sciences, Oil, Gas, and Energy, Physical Sciences and Mathematics

This study evaluates the feasibility of producing carbon neutral oil via CO2 Enhanced Oil Recovery (CO2-EOR) coupled with direct air capture. Existing analyses often provide case-specific insights based on short-term operations that do not encompass the full life cycle of reservoir exploitation. In contrast, we propose a novel, top-down approach based on mass and volume conservation, expanding [...]

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