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Open access

ISSN: 2096-2495
CN: 10-1439/TE
e-ISSN: 2524-1729

Advancing gas flaring mitigation: A comprehensive review of progress and future directions

Gas flaring, a persistent environmental challenge within the petroleum industry, significantly contributes to global greenhouse gas emissions and represents a substantial loss of energy and economic...

Evaluating Fly Ash as a High-Salinity Scavenger to Enhance Water-Based Mud Performance in High-TDS Brine Contaminated Drilling Operations: A Case Study from the Williston Basin

Drilling operations in the oil-rich Bakken Formation of the Williston Basin, North Dakota, face significant challenges due to contamination of drilling fluids (DFs) with high total dissolved solids...

Advancing Low-Salinity Waterflooding for Improved Oil Recovery: Mechanisms, Machine Learning, and Future Directions

The efficacy of low-salinity waterflooding for improving hydrocarbon recovery has garnered significant attention. The primary reason for utilising low-salinity waterflooding is its greater efficiency...

Lithofacies Modeling and Depositional Environment of the Carbonate-Clastic rocks: A Case Study from the Asmari Formation, Southeastern Iraq

The mixed Oligocene–Miocene succession of the Asmari formation constitutes an important clastic-carbonate petroleum reservoir in southeastern Iraq, where a detailed understanding of depositional settings...

Comprehensive Treatment and Optimization of Lake Water and Produced Water for Low Salinity Water Flooding in Enhanced Oil Recovery

This investigation evaluates the suitability of treated lake water (LW) for injection and as a diluent for produced water (PW) in low-salinity enhanced oil recovery (EOR), revealing through comprehensive...

Water sensitivity damage mechanisms in tight sandstone gas reservoirs revealed by NMR and in-situ micro-CT

Water sensitivity damage, often induced during hydraulic fracturing, poses a significant threat to the productivity of tight sandstone reservoirs by reducing permeability. While commonly attributed...

Coupled Thermo-Mechanical Analysis of Bismuth Plug Deployment in Wellbore

Plug and abandonment (P&A) operations are a critical step in ensuring long-term well integrity and mitigating environmental risks. Bismuth-based alloys have emerged as promising alternatives to cement...

Prediction of the Apparent Viscosity of CO2-Foam Using Machine-Learning Techniques: Application of Black-Box and White-Box Algorithms

Carbon dioxide foam (CO2 foam) injection is of great importance in the oil and gas industry, including enhanced oil recovery (EOR), drilling operations, etc. In addition, CO2 foam injection is an efficient...

Formation damage to oil reservoir caused by СО2 injection for enhanced oil recovery

Carbon dioxide (CO2) injection for enhanced oil recovery (EOR) and geological storage is crucial for increasing hydrocarbon production while reducing greenhouse gas emissions. However, its implementation...

Digital rock analysis of pore-scale controls on permeability anisotropy in an Arctic shelf gas-condensate reservoir

The mechanistic origin of permeability anisotropy in highly connected yet structurally heterogeneous weakly consolidated reservoirs remains insufficiently understood. This study describes a stepwise...

Ethomeen-mediated CO2 utilization in produced water for enhanced mineralization and oil recovery

This study introduces a novel integrated strategy that couples CO2 mineralization, surfactant-assisted precipitation, and smart water flooding to simultaneously advance carbon management and enhanced...

Experimental Study of Thermal Impact on Proppant Fracture Under Reservoir Conditions: A Case Study of the Sredny Nazym Oil Shale

The thermally enhanced oil recovery method based on supercritical water (SCW) injection into fractured horizontal wells in shale formations represents a promising strategy for converting organic solid...

Deep Learning Methodologies for Oil Spill Prevention: A Lifecycle-Based Sustainability Review

Oil Spills continue to pose significant risks across offshore production, marine transport, and subsea infrastructure. Deep Learning (DL) methods now support proactive Oil Spill Prevention (OSP) through...

Artificial intelligence in gas hydrate management: A comprehensive review

Gas hydrate applications range from energy extraction, carbon mitigation (CO2 hydrates), hydrogen (H2) storage, flow assurance to geohazards, but the thermodynamics, kinetics, and geology of gas hydrate...

Synergizing foam stability, gas mobility control, and oil recovery: A new approach combining silane-silica oxide and MFomax

Oil reservoirs subjected to a gas recovery technique are commonly challenged by early gas breakthroughs affecting the production rate. Foam is injected to block and divert gas to reservoir sections,...

Comprehensive judgment method of low production causes in tight gas reservoirs——Taking the LX gas reservoir in Ordos Basin as an example

The low production of tight gas reservoirs arises from complex and multifaceted causes, and elucidating these factors is crucial for guiding the formulation of effective stimulation strategies. Conventional...

Spatially continuous regularization of the parameters of the capacitance–resistance model

The capacitance–resistance model (CRM) is a widely-used model for predicting well production rates because it requires the estimation of only a small number of parameters to describe production wells...

Pressure transient analysis of commingled multilayer reservoirs: A deconvolution-based approach for individual layer characterization using sparse PLT data

Layering is common in hydrocarbon reservoirs due to stratified sedimentary deposition, with each layer exhibits distinct characteristics. Multilayer reservoirs are typically classified as systems with...

Fracture conductivity damage in shale oil reservoirs: Mechanism model and its impact on oil production

Shale oil reservoirs often experience severe hydraulic fracture stress sensitivity and conductivity damage, leading to rapid production decline and low oil recovery. Understanding fracture damage mechanisms...

Integrated electrochemical and machine learning framework for SiO2/CaCO3 under-deposits driven welded X65 carbon steel corrosion mitigation in sour service conditions

The integrity of welded X65 carbon steel (CS) pipelines in oil and gas systems is significantly compromised by preferential weldment corrosion (PWC) and pitting in sour conditions. This study clarifies...

Seismic attribute integration and neural network analysis for quantitative reservoir characterization: A case study from the Offshore Nile Delta (Egypt)

Accurate reservoir characterization is essential for optimizing hydrocarbon exploration and production, particularly in complex deep-water environments. The Simsat Field, Offshore Nile Delta, features...

Cellulose bionanomaterial design for enhanced oil recovery: A review of existing, emerging technologies and future outlook

Cellulose nanoparticles are attracting interest in diverse fields because of their availability, low cost, and benign nature. Albeit previous studies have reported excellent experimental results, the...

Research on intelligent kick early warning technology based on LSTM-AE unsupervised learning

In oil and gas exploration, kick is a typical high-risk downhole incident. Currently, most intelligent kick detection methods belong to supervised learning, which depends on labeled samples and is prone...

Physicochemical characterization of oilfield produced water and its treatment constraints

Produced water is the largest waste stream generated during oil and gas production, presenting significant environmental risks due to its complex chemical composition. Characterizing the contaminant...

Research on segmented modelling and prediction of shale gas production based on time series analysis

At present, the world is experiencing an unprecedented period of change, and the third wave of energy conversion is also emerging. Natural gas is widely regarded as an ideal bridge between traditional...

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