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ISSN: 1995-8226

In-situ stress controlled reservoir quality in ultra-deep sandstones in Qiulitage Structural Belt, Kuqa Depression, Tarim Basin, NW China,

High industrial natural flow has been produced from the ultra-deep Cretaceous Bashijiqike sandstones (>6000 m) in the Qiulitage Structural Belt in the Kuqa Depression, Tarim Basin, northwestern China....

Pore pressure control on multi-scale reservoir properties in deep and ultra-deep sandstones of the Cretaceous Bashijiqike Formation, Kuqa Depression, Tarim Basin, NW China

Understanding the effects of pore pressure on multiscale reservoir properties in deep and ultra-deep sandstones is important for many geological processes. This study integrated core analysis, computed...

Techno-economic feasibility evaluation framework for reverse-flow retrofitting in multi -product pipelines aimed at benefit augmentation

As China's energy transition advances, optimizing flow direction in multi-product pipelines becomes critical to accommodate structural shifts in oil consumption, particularly reverse-flow operations....

Experimental research on failure mechanism and evolution characteristics of thermal-treated granites under action of impact load with PDC cutter

High rock temperatures and complex engineering environments are the most significant problems in enhancing the rate of penetration (ROP) and drilling tool efficiency for hot dry rocks (HDR). Studying...

A knowledge-guided multi-task learning method for drill cuttings analysis

Drill cuttings serve as a fundamental source of geological information in oil and gas exploration and development. However, traditional analysis remains largely manual, resulting in low efficiency and...

Influence of pore structure on high-voltage electrical pulse rock breaking: A coupled numerical approach

High-voltage electrical pulse (HVEP) rock-breaking technology is extensively utilized due to its advantages of high energy density, controllable fragmentation zones, and tunable energy output. However,...

Diesel contamination reassembles cross-kingdom soil microbial networks via chemodiversity shifts

Petroleum contamination not only selects hydrocarbon-degrading microbes but also reshapes dissolved organic matter (DOM), the chemical interface that mediates cross-kingdom interactions. However, the...

An intelligent differential optimization method for fracture parameters in long horizontal wells based on reservoir quality zoning

Shale reservoirs are characterized by pronounced heterogeneity, rendering conventional homogeneous fracture spacing and experience-based design approaches inadequate for achieving efficient hydraulic...

Thermodynamic indicator of water sensitivity in deep geo-energy reservoir rocks

This study proposes a thermodynamic characterization method for reservoir water sensitivity based on macro-lens infrared thermal imaging, aiming to address the lack of an efficient and fully quantitative...

Large language model-based AI agent for well logging data processing and interpretation

Well logging data processing and interpretation are critical to reservoir evaluation and usually involve multi-source data integration, feature construction, and parameter inversion. These procedures...

Seismic elastic parameter inversion via multi-attribute assisted multi-trace supervised learning

Elastic parameters (primary wave velocity VP, shear wave velocity VS, and density) are crucial to link seismic data and the corresponding petrophysical properties. Traditional elastic parameter inversion...

Innovative design of a fully mechanical well deviation measurement system with experimental validation

With the advancement of ultra-deep well drilling and dry hot rock energy development, the demand for measurement-while-drilling (MWD) systems has grown increasingly critical. The electronic MWD system...

In situ-generated silica nanonetworks for energy-efficient enhanced oil recovery: Breaking the migration–aggregation dilemma in heterogeneous reservoirs

Maximizing energy efficiency in hydrocarbon extraction remains hampered by water channeling in heterogeneous reservoirs, where conventional pre-synthesized nanoparticles often fail due to the unresolved...

Efficient hydrocarbon generation mechanism in low-TOC source rocks of saline lacustrine basins: A case study of the Oligocene Linhe Formation in the Linhe Depression, Hetao Basin

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...

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