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ISSN: 1995-8226

Implications for fault reactivation and seismicity induced by hydraulic fracturing

Evaluating the physical mechanisms that link hydraulic fracturing (HF) operations to induced earthquakes and the anticipated form of the resulting events is significant in informing subsurface fluid...

One hundred grand challenges in petroleum science

Petroleum science stands at a historic turning point: exploration extends to ultra-deep and deepwater frontiers, unconventional resources become dominant, and the dual imperatives of carbon neutrality...

Geopolitical turbulence in the Middle East: Reshaping global energy landscape?

Iran’s position in the Gulf energy system makes the recent military confrontation involving the United States, Israel, and Iran highly consequential for global energy markets. This commentary examines...

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...

Micron- to meter-scale shale oil migration differentiation and mobility effects: New insights into high-mobility migration sweet spot and sustainable shale oil recovery

Understanding multiscale migration differentiation within shale oil systems is critical for identifying high-mobility migration sweet spots that facilitate the sustainable shale oil recovery. However,...

A review of matrix acidizing for carbonate reservoirs

Carbonate reservoirs are rich in geothermal and petroleum resources, and matrix acidizing is one of the main methods for such reservoir's stimulation. This study systematically reviewed the research...

Synthetic polymers: A review of applications in drilling fluids

With the growth of deep drilling and the complexity of the well profile, the requirements for a more complete and efficient exploitation of productive formations increase, which increases the risk of...

Polymer flooding: Current status and future directions

This review presents our perspective on the factors that have brought polymer flooding to its current state. Insights are provided on why HPAM is the dominant polymer used as well as what is needed...

Artificial intelligence in petroleum and natural gas prospect evaluation and prediction

Artificial intelligence has shown great performance and considerable potential in petroleum and natural gas prospect evaluation and prediction (PPEP). Multiple machine learning (ML) and deep learning...

Physics-informed graph neural network for predicting fluid flow in porous media

With the rapid development of deep learning neural networks, new solutions have emerged for addressing fluid flow problems in porous media. Combining data-driven approaches with physical constraints...

A novel method for drilling rate of penetration prediction and transfer generalization based on physics-informed neural networks

The rate of penetration (ROP) is a critical statistic for evaluating drilling efficiency, and its accurate prediction is essential for improving drilling performance and reducing operational costs....

A critical review on deep-water oil and gas development equipment research and application: Floating platform, mooring cable and pile foundation

As a crucial component of the global energy supply, deep-sea oil and gas resources exist in highly complex environments and pose significant technical challenges, necessitating reliance on floating...

Review: Research on the development trends of measurement while drilling (MWD) technology in oil and gas drilling

As one of the pivotal technologies in oil and gas field exploration and development, downhole measurement technology provides a scientific basis for reservoir evaluation, drilling optimization, development...

Diversity and distribution pattern of high-quality dolostone reservoirs within sequence framework of the Xiaoerbulake carbonate ramp in Bachu area, Tarim Basin, NW China

The deep to ultra-deep Cambrian strata in the Tarim Basin are widely developed with dolostones, characterized by considerable thickness and an excellent source–reservoir–caprock assemblage, possessing...

Occurrence characterizations and controlling factors of lacustrine shale pore fluids in the Qingshankou Formation, Sanzhao Sag, Songliao Basin, China

The pore fluid occurrence predominantly restricts shale oil production. Few studies have addressed both pore oil and water concurrently. In an effort to delineate the distribution of pore fluids within...

Production decline curve analysis of shale oil wells: A case study of Bakken, Eagle Ford and Permian

The shale revolution has turned the United States from an oil importer into an oil exporter. The success of shale oil production in the U.S. has inspired many countries, including China, to begin the...

Hydrocarbon generation thermal simulation experiment of massive organic-rich tuff and laminar tuffaceous shale: A case study of the Chang 7 member of the Ordos Basin

The Chang 7 Member of the Yanchang Formation in the Ordos Basin consists predominantly of airfall and water-borne tuff along with tuffaceous shale, which exhibit considerable hydrocarbon potential,...

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...

Crude oil wax: A review on formation, experimentation, prediction, and remediation techniques

Wax deposition during crude oil production, transportation, and processing has been a headache since the early days of oil utilization. It may lead to low mobility ratios, blockage of production tubing/pipelines...

Physics-informed machine learning for sustained casing pressure diagnostics and root cause analysis for well integrity

Sustained casing pressure (SCP) is a primary indicator of well integrity degradation, arising from compromised barriers such as cement, casing, tubing/packer components, or wellhead seals. Traditional...

A DBOKS-based hybrid machine learning method for carbonate rock classification

Addressing the challenges in carbonate rock lithology identification, such as similar well-logging curve response characteristics, scarcity of transitional lithology samples leading to classification...

Advanced fluid-loss control in drilling fluids: A review on rationally designed temperature- and salt-tolerant synthetic polymers

To meet the ever-increasing energy demands, oil and gas exploration is progressively extending into deep formations with high temperatures and high salinity, presenting new challenges for the performance...

Physics-informed neural network-based petroleum reservoir simulation with sparse data using domain decomposition

Recent advances in deep learning have expanded new possibilities for fluid flow simulation in petroleum reservoirs. However, the predominant approach in existing research is to train neural networks...

Differential inorganic–organic porosity evolution in the Wufeng–Longmaxi Shale, southern Sichuan Basin, China

Quantifying how inorganic and organic porosity co-evolve in shale during burial and later uplift is a key scientific issue for constraining shale-gas occurrence, storage capacity, and enrichment mechanisms....

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...

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