Article title: A fast forward computational method for nuclear measurement using volumetric detection

DOI: 10.1007/s41365-024-01393-6

One sentence summary:

This research introduces a groundbreaking Fast Forward Computational Method for nuclear measurement, significantly improving the speed and accuracy of geological analysis to support more efficient and sustainable energy exploration.

Keywords:

Nuclear measurement, Fast forward computation, Volumetric constraints

The Novelty

This research introduces a Fast Forward Computational Method (FFCM) for nuclear measurement, marking a significant progress in computational in-situ models for geological environments. By integrating volumetric detection constraints, this novel computational method significantly enhances the speed and accuracy of detector responses in complex geological settings. The FFCM has been rigorously tested and verified using a neutron porosity tool, demonstrating a maximum relative error of just 6.80% compared to traditional Monte Carlo simulations, with the added advantage of real-time application capabilities. It performs these calculations in less than a second, thereby meeting the real-time application requirements for field use. This innovation not only showcases a leap forward in nuclear measurement techniques but also opens the door for future advancements in real-time geological analysis and broader application in complex environmental conditions.

The Background

As the exploration and development of unconventional oil and gas reservoirs become increasingly vital to meeting global energy demands, accurate reservoir evaluation faces significant challenges due to the complex lithologies and environmental conditions present. Traditional nuclear measurement tools, while crucial, often fall short in providing accurate formation information due to these complexities. The limitations of existing methods, including the need for multiple tools and the heavy reliance on operator expertise, have highlighted a significant gap in efficient and reliable reservoir characterization. The thesis of this research proposes a novel solution to these challenges by introducing a Fast Forward Computational Method (FFCM) that incorporates volumetric detection constraints for optimizing detector response models. This approach represents a significant leap forward, offering a more accurate, efficient, and cost-effective method for nuclear measurement in complex reservoirs.

The SDG impact

In the quest to harness energy resources more efficiently and sustainably, the latest advancements in nuclear measurement techniques come as a beacon of innovation in addressing the critical need for improved exploration and extraction methodologies. This research directly contributes to Sustainable Development Goal 7 (Affordable and Clean Energy) by enabling more efficient petroleum extraction processes, which can reduce environmental impacts and improve the affordability of energy resources. Additionally, it supports Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) by fostering innovation in the energy sector's infrastructure, promoting sustainable industrialization.

Graphical Abstract