BRIEF RESEARCH REPORT article

Front. Earth Sci.

Sec. Solid Earth Geophysics

Volume 13 - 2025 | doi: 10.3389/feart.2025.1611038

This article is part of the Research TopicFrontiers in Borehole Multi-Geophysics: Innovations and ApplicationsView all articles

Modeling the Pulsed Neutron Response for Natural Hydrogen Detection

Provisionally accepted
Xi  xiliXi xili1Qian  ChenQian Chen1*Zhang  FengZhang Feng2
  • 1Sinopec Matrix Corporation, Qingdao, China
  • 2China University of Petroleum, Qingdao, Shandong Province, China

The final, formatted version of the article will be published soon.

Hydrogen gas is a promising clean energy vector that can alleviate the current imbalance between energy supply and demand, diversify the energy portfolio, and underpin the sustainable development of oil and gas resources. This study pinpoints the factors that govern hydrogen quantification by pulsed neutron logging. Monte Carlo simulations were performed to map the spatial distribution of capture γ rays in formations saturated with either water or hydrogen and to systematically assess the effects of pore fluid composition, hydrogen density, gas saturation, lithology, and borehole fluid type. The results show that the counts of capture γ rays are litter in hydrogen bearing formations. For low to moderate porosity rocks, the dynamic response window for hydrogen saturated pores is approximately 10 % wider than that for methane saturated pores. Increasing hydrogen density or decreasing gas saturation raises the capture γ ratio while narrowing the dynamic range. Changes in borehole fluid substantially affect the capture γ ratio yet have only a minor impact on the dynamic range. Lithology imposes an additional control: serpentinite, enriched in structural water, generates markedly higher capture γ ratios that may complicate the quantitative evaluation of hydrogen.

Keywords: Natural hydrogen, Pulsed neutron logging, Capture gamma, hydrogen identification, Monte Carlo method

Received: 13 Apr 2025; Accepted: 17 Jun 2025.

Copyright: © 2025 xili, Chen and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Qian Chen, Sinopec Matrix Corporation, Qingdao, China

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