Recent Articles

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ISSN: 1995-8226

Impact of fracture filling states on acid transport and conductivity in deep carbonates

Acid fracturing is a key stimulation method for deep and ultra-deep carbonate reservoirs, where extreme temperature-stress conditions and pervasive natural fractures frequently compromise treatment...

A novel interpretable machine learning framework for predicting gas-bearing properties of tight sandstone reservoirs

Predicting gas-bearing properties in tight sandstone reservoirs presents a global challenge. Traditional methods based on well log interpretation rely heavily on individual experience, which can introduce...

Micro-migration and accumulation of shale oil within lacustrine organic matter-rich tuffaceous shale: Insights from high-precision thermal simulation experiment on various laminasets

The dynamic process of generation, expulsion, retention, and accumulation of shale oil within laminated shale has attracted considerable attention because it provides important geological insights into...

Numerical investigation on T1–T2–based wettability in shale oil

Wettability analysis in shale reservoirs is crucial for evaluating reserve assessment. Nuclear Magnetic Resonance (NMR) is a widely adopted non–destructive technique for characterizing wettability in...

Enhancing reservoir characterization via lithology-constrained machine learning methods: The deep Jurassic Sangonghe tight sandstones in the Turpan-Hami Basin, China

Reliable porosity prediction in deep tight sandstones remains a persistent challenge due to complex lithological heterogeneity and weak correlations between conventional logs and reservoir parameters....

High-Resolution Reconstruction of 3D Seismic Data Using Generative Adversarial Networks with Global Grouped Coordinate Attention Mechanisms

Due to limitations in exploration costs and surface conditions, actual seismic data are often sparsely sampled and exhibit irregular coverage, which weakens the effects of migration imaging and wavefield...

Catalytic pyrolysis of waste wind turbine blades using spent FCC catalysts for the production of phenol-rich oils

The disposal of waste wind turbine blades and spent FCC catalysts represented two significant environmental challenges for the renewable energy and petroleum refining sectors, respectively. This study...

Two robust weighted Runge-Kutta discontinuous Galerkin methods for scalar wavefield modeling

Developing fast, efficient forward modeling methods with low numerical dispersion is an important research topic in computational geophysics. The discontinuous Galerkin (DG) method shows advantages...

Design and mechanism of side chain-functionalized polysuccinimide for efficient demulsification of crude oil-in-water emulsions at ambient temperature

The development of efficient, fast-acting demulsifiers that function effectively at low temperatures is crucial for treating high-water-content crude oil fluids in sustainable oilfield development....

Multi-stage deep neural network fusion for hybrid optimization full waveform inversion

Full waveform inversion (FWI) has emerged as a powerful physics-based optimization technique for reconstructing subsurface parameters with high accuracy and resolution. Despite its strong theoretical...

The relationship between heavy oil viscosity and “critical emulsifying viscosity” for viscosity reduction

This study investigates the relationship between heavy oil viscosity and emulsification performance during emulsification-based viscosity reduction. Heavy oils with different viscosities were prepared...

The energy-concentrated transform for gas-bearing reservoir identification

Identifying gas-bearing reservoirs remains challenging in seismic exploration because the time-frequency (TF) response of seismic signals is often complex and difficult to interpret. Newly developed...

Joint PP–PS multi-objective inversion based on exact reflection coefficients in VTI media

With the rapid progress of unconventional oil and gas exploration, detailed characterization of reservoir anisotropy has emerged as a key focus in seismic inversion studies. Traditional pre-stack inversion...

Experimental and simulation of nanofluid-enhanced tubular heating process for waxy crude oil storage tank

Traditional tubular heating systems using water as the heat transfer fluid suffer from high energy consumption and uneven heating. This study proposes an innovative approach: employing nanofluids as...

Component-dependent transport and spatial distribution of crude oil fractions confined in kerogen nanopore

Understanding the transport mechanisms of shale oil in kerogen nanopores is critical for optimizing recovery from organic-rich reservoirs. Here, molecular dynamics simulations were employed to investigate...

Hydrocarbon evaporation behavior in medium- to high-maturity shale: Insights from pressure-retained core samples

Focusing on the medium- to high-maturity shale oil play of the Qingshankou Formation in the Gulong Sag (Songliao Basin, NW China), pressure-retained, full-closure, and conventional core samples (including...

Investigation of the effect of water-vapour-containing hydrogen-blended natural gas fraction on the condensation performance of a Laval nozzle using BBD and PSO

Hydrogen-blended natural gas delivered via pipeline networks supports the development of hydrogen energy. However, hydrogen-blended natural gas containing water vapour significantly decreases delivery...

A multiple review on identification and fine evaluation of shale pores: Prospects and challenges

Accurate evaluation of pore systems in shale reservoirs is critical for understanding fluid flow, gas storage capacity, and overall reservoir performance. Extensive research has been conducted on the...

Research progress on catalysts for in-situ upgrading of medium-low maturity shale oil: A comprehensive review

Medium-low maturity (MLM) shale oil represents a significant unconventional hydrocarbon resource. In-situ catalytic conversion technology has emerged as a pivotal method for the large-scale extraction...

Multivariate data-driven fracture identification and distribution pattern in tight sandstone reservoirs using an improved CNN-Attention-BiLSTM: A case study of the Permian Lower Shihezi Formation in the Hangjinqi area, Ordos Basin, China

Natural fractures in tight sandstone reservoirs play an important role in hydrocarbon migration and accumulation. Fracture identification remains challenging due to the scarcity of labeled data and...

A borehole compensated 3D reverse time migration method for monopole source acoustic reflection imaging logging

Three-dimensional borehole reverse time migration (3DBRTM) offers superior theoretical imaging fidelity and enables detailed delineation of geological structures adjacent to the borehole. However, when...

Dual-branch wavelet-fusion U-Net for vibroseis harmonic noise attenuation

Vibroseis is widely used in land surveys, but source-ground coupling and equipment nonlinearities generate second- and higher-order harmonics as well as narrowband resonance lines. These source-related...

Diffusion-IDEA: A conditional diffusion framework for well log imputation

Well log data constitute a primary source of critical information for quantitative reservoir evaluation; however, acquisition failures, wellbore irregularities, and constraints imposed by the log program...

Formation drillability characterization method based on multi-scale convolutional neural representation with stacking ensemble

Formation drillability characteristics are critical for optimizing drilling performance and designing bottom-hole assemblies. Accurate estimation of drillability parameters, including uniaxial compressive...

Competitive fracture propagation in Da'an deep shale: A study based on multi-adjacent well collaborative distributed optical fiber monitoring

The competitive propagation of hydraulic fractures during multi-cluster stimulations poses a critical challenge to achieving effective reservoir stimulation in deep shale formations. To address this,...

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