1. Introduction
Analytical and Experimental Technology is an essential and important means for basic theoretical research on marine natural gas hydrates. It can not only obtain characteristic information such as crystal structure, surface morphology, occurrence morphology, and pore evolution of hydrates at the millimeter, micrometer, and even nanometer scales, but can also obtain important physical parameters by simulating the real seabed environment, providing basic data for the exploration, development, and environmental effects research on marine hydrate resources [
1,
2].
Recent advancements in modern analytical instrumentation have driven significant progress in the development of specialized experimental apparatuses. These integrated systems now facilitate the comprehensive micro-scale characterization of natural gas hydrates, capturing thermodynamic, kinetic, crystallographic, morphological, and molecular/atomic-level spectroscopic data [
3,
4,
5,
6,
7,
8]. The application of large-scale scientific facilities has emerged as a transformative trend, with synchrotron radiation and neutron sources enabling unprecedented levels of observation of hydrate micro-properties. Notably, advanced techniques like X-ray synchrotron-based 4D delayed imaging have demonstrated superior spatial resolution compared to conventional X-CT, allowing for the detailed investigation of hydrate morphology and pore-scale behaviors in sediment matrices [
9,
10,
11]. Pioneering works by Pefoute et al. [
12] and Brant et al. [
13] employing quasi-elastic neutron scattering and time-of-flight neutron diffraction, respectively, elucidated THF hydrate crystal structures with atomic precision. The growing complexity of hydrate research demands synergistic analytical approaches, driving the development of multi-modal characterization platforms. Zhang et al. [
14] engineered a novel apparatus integrating X-CT and low-field NMR technologies, enabling the concurrent acquisition of spatial distribution data and transverse relaxation time profiles from identical hydrate-bearing sediment samples. This innovation has successfully characterized interface evolution dynamics and permeability variations during hydrate dissociation [
15]. Zhang et al. [
16] advanced computational methodologies through a kinetic theory-based pore network model (KT-PNM) that reconstructs soil skeletons via single CT scans, simulating hydrate nucleation dynamics and permeability responses while achieving 30% computational efficiency gains. Nevertheless, critical challenges persist in bridging micro–macro scale correlations, particularly in connecting nucleation mechanisms with macroscopic permeability characteristics. The prohibitive computational demands of molecular dynamics simulations further limit their practical application in field-scale extraction scenarios.
This Special Issue compiles cutting-edge research on analytical and experimental techniques for marine hydrate systems, encompassing mechanical properties, coupled acoustic–electrical characteristics, anisotropic electromagnetic responses, molecular dynamics simulations, and CH4-CO2 replacement strategies. The collection aims to address fundamental scientific questions and advance multi-scale, multidimensional research frameworks for gas hydrate systems.
2. An Overview of the Published Articles
In “Confined Compressibility of Fine-Grained Marine Sediments with Cavities after Complete Dissociation of Noduled Natural Gas Hydrates” (contribution 1), the authors investigated the mechanical properties of fine-grained marine sediments containing cavities formed after the complete dissociation of natural gas hydrates. By integrating oedometer tests and X-ray CT scans, they enabled the synchronous observation of macroscopic mechanical responses and microscopic structural evolution in clayey silt with gas cavities under undrained conditions. Cavity formation was simulated through heating-induced methane hydrate dissociation, which revealed the dynamic coupling mechanism between gas cavity collapse and the soil matrix fracturing under vertical loading. A mathematical model was developed to quantify the bulk volume changes, establishing a linear relationship between the void ratio and the inverse of normalized pore gas pressure. Additionally, a linear decay law was proposed for the effective stress coefficient versus the inverse of normalized vertical stress, with a slope of −0.662 and intercept of 0.380. The study further uncovered a capillary suction-driven crack initiation–propagation mechanism and spatial differentiation in crack evolution, characterized by lower crack closure and upper crack generation under increasing vertical stress. The research quantified the impact of gas cavities on the confined compressibility of marine sediments, addressing the limitations of traditional soil mechanics models in characterizing heterogeneous cavity-bearing soils. It also elucidated the microstructural evolution of cavity-bearing sediments during loading/unloading under undrained conditions, linking macroscopic mechanical behavior to microscopic damage. This work establishes a pioneering analytical framework for cavity-bearing marine sediments, with broad implications for ocean engineering, environmental science, and energy resource management.
The work “A Molecular Dynamics Study of the Influence of Low-Dosage Methanol on Hydrate Formation in Seawater and Pure Water Metastable Solutions of Methane” (contribution 2) investigated the dual role of low-dosage methanol (0.5–1.0 wt%) in promoting methane hydrate formation in seawater and pure water metastable systems. By analyzing hydrogen bond dynamics and hydrate nucleation mechanisms, the study provided novel insights into the molecular-scale interplay between methanol, seawater ions, and hydrate formation kinetics. The study revealed the dual role of methanol in gas hydrate formation. The results demonstrated that low-concentration methanol, traditionally recognized as a hydrate inhibitor, can act as a promoter under moderate temperature/pressure conditions by accelerating hydrate nucleation and growth in methane-supersaturated systems. Specifically, methanol was found to enhance the collective hydrate growth process, reducing the induction time in pure water systems and increasing hydrate-like cavity formation in seawater systems. The influence of methanol on the rearrangement of hydrogen bond networks was quantified by calculating the tetrahedral order parameters, torsion angles, and hydrogen bond statistics. This research provided evidence that the interaction between methanol and seawater stabilizes transient hydrate precursors and accelerates crystallization kinetics. Furthermore, it clarified how seawater ions and methanol co-modify the water structure and hydrate formation pathways. By bridging molecular-scale dynamics and macroscopic hydrate engineering, this study offers a paradigm shift for understanding methanol’s role in hydrate systems, with potential implications for hydrate-based technologies and applications.
The study “Effect of CO2 Thickeners on CH4-CO2 Replacement in Hydrate-Bearing Sediment” (contribution 3) systematically investigated the role of CO2 thickeners in enhancing CH4-CO2 replacement efficiency in hydrate-bearing sediments, addressing critical gaps in optimizing gas hydrate recovery and carbon sequestration. The results demonstrated that most CO2 thickeners (i.e., polyvinyl acetate, ethyl trifluoroacetate, octamethyl trisiloxane) kinetically promote CH4-CO2 replacement without altering the hydrate thermodynamic equilibria. In contrast, DL-Lactic acid was found to inhibit both the kinetics and thermodynamics of the process. Among the tested thickeners, octamethyl trisiloxane emerged as the most effective additive, significantly enhancing CH4 recovery (up to 74%) and CO2 capture (up to 105%) at low concentrations. This study revealed that CO2 thickeners primarily influence gas exchange dynamics in pore spaces rather than hydrate phase equilibria, which explains their kinetic promotion despite their negligible thermodynamic effects. These thickeners enhance gas diffusion and contact efficiency in sediments, thereby accelerating CH4 release and CO2 trapping. The research highlighted the asymmetric performances of CH4 recovery (55–74%) and CO2 capture (80–105%), suggesting the preferential stabilization of CO2 in hydrate cages. Additionally, it clarified why DL-Lactic acid acts as an inhibitor, attributing its effects to thermodynamic destabilization, in contrast to other thickeners that solely boost kinetics. By linking molecular-level additive interactions with macroscopic hydrate engineering, this work provides a comprehensive framework for optimizing the CH4-CO2 substitution process, with significant implications for gas hydrate recovery and carbon sequestration technologies.
The research “Evaluation of Gas Hydrate Saturation Based on Joint Acoustic–Electrical Properties and Neural Network Ensemble” (contribution 4) pioneered a machine learning (ML)-driven approach to evaluate gas hydrate saturation by integrating joint acoustic–electrical properties, addressing critical challenges in hydrate reservoir characterization. The authors developed the first joint acoustic–electrical evaluation model for hydrate saturation, combining the impedance modulus, phase angle, and sound velocity measurements from the ultrasound with the electrical impedance (UCEI) system. By leveraging complementary electrical and acoustic sensitivities to hydrate distribution and anisotropy, the study overcame the limitations of single-parameter methods, such as Archie’s formula. The research incorporated multidirectional acoustic–electrical data to mitigate the errors caused by uneven hydrate distribution and reservoir anisotropy, introducing a novel strategy for heterogeneous sediments. It resolved the inaccuracies of Archie’s formula and the Lee weight equation in clay-rich sediments by integrating acoustic properties and ML techniques to account for complex pore structures and hydrate heterogeneity. Furthermore, the study addressed the challenge of correlating geophysical properties, such as sound velocity and impedance, with hydrate saturation under dynamic geological/dissociation conditions. By establishing a framework to fuse multidirectional experimental data, the research reduced biases arising from anisotropic hydrate distributions. This work bridges experimental geophysics and ML-driven data fusion, offering a paradigm shift in hydrate saturation evaluation. By resolving the limitations of traditional empirical models through multimodal data integration and ensemble learning, the study provides a scalable tool for accurate hydrate resource assessment, with significant implications for hydrate exploration and resource management.
In “Frequency-Dependent Anisotropic Electromagnetic Responses of Fractured Reservoirs with Various Hydrate Distributions Based on Numerical Simulation” (contribution 5), the authors investigated the frequency-dependent anisotropic electromagnetic (EM) responses of fractured hydrate-bearing reservoirs through advanced numerical simulations, providing critical insights into the interplay between hydrate distribution, saturation, and EM properties. This work represents the first systematic analysis of frequency-dependent anisotropic conductivity, the relative dielectric constant, and the dielectric loss factor in fractured hydrate reservoirs. The authors developed digital core models with aligned fractures and varying hydrate distributions (e.g., pore-filling, fracture-coating), revealing two key findings: (1) the EM parameters decrease with increasing hydrate saturation across all distributions types, and (2) the conductivity and permittivity reduction rates vary among hydrate distribution types, enabling the discrimination of hydrate occurrence modes. The results demonstrate that the EM properties perpendicular to fractures are consistently lower than parallel measurements, due to aligned fracture pathways enhancing the charge mobility and polarization parallel to the fracture orientation. This finding resolves the ambiguities in interpreting anisotropic EM data for fractured hydrate systems by quantifying directional dependencies and frequency effects. The study clarified how hydrate saturation and spatial distribution jointly influence EM responses, addressing challenges in correlating geophysical data to reservoir properties. It also identified the 100–3000 MHz frequency range as optimal for detecting hydrate-induced EM dispersion, improving the inversion accuracy for field applications. By bridging micro-scale hydrate–fracture interactions and macro-scale geophysical detection, this research offers a framework for decoding anisotropic EM signatures in complex reservoirs. The correlation of frequency-dependent EM behaviors with hydrate saturation and distribution advances hydrate resource evaluation methodologies, empowering next-generation exploration and resource assessment technologies.
3. Perspectives
Though this Special Issue comprises five focused contributions, it demonstrates multidisciplinary investigations employing X-CT, low-field NMR, molecular dynamics simulations, numerical modeling, and micro-scale experimentation. These studies systematically address critical aspects, including acoustic–electrical–mechanical responses in hydrate-bearing sediments, micro-scale formation/decomposition kinetics, and CO2-CH4 replacement mechanisms. The findings provide critical insights into hydrate phase behavior and physical property evolution at pore-to-molecular scales. Nevertheless, as a curated collection, it cannot exhaustively encompass the entire spectrum of natural gas hydrate analytical methodologies. Four key directions warrant prioritized investigation:
- (1)
Validation of nucleation mechanisms
While molecular dynamics simulations dominate hydrate nucleation studies, their predictive outcomes require rigorous verification through advanced micro-analytical techniques, offering atomic-level resolution.
- (2)
Dynamic process visualization
Current micro-scale methodologies lack the capacity for the continuous, non-invasive monitoring of hydrate growth/decomposition dynamics. Breakthroughs in real-time in situ visualization systems with temporal–spatial precision are imperative.
- (3)
Multi-scale integration framework
A hierarchical experimental–computational paradigm spanning nano to meter scales must be established, integrating molecular simulations, micro-imaging, and macro-physical testing to unravel the full-chain mechanisms governing hydrate formation–dissociation processes.
- (4)
Cross-scale predictive modeling
A cross-scale framework integrating molecular dynamics, pore networks, and reservoir models needs to be developed to connect nucleation mechanisms with macroscopic flow behavior, achieve multi-scale and multi-technology integration, and improve the accuracy of fluid–structure coupling simulations.
In summary, while micro-scale testing and simulation techniques are evolving from single-parameter analysis to interdisciplinary integration, key challenges remain in establishing cross-scale correlations, improving instrument accuracy, and conducting long-term environmental risk assessments. With the advancement of modern analytical techniques, increasingly precise testing methods are being applied in hydrate research, driving natural gas hydrate studies toward more refined and microscopic directions. By combining micro-scale testing techniques with molecular dynamics simulations, we can gain deeper insights into hydrate formation behavior at the pore and molecular scales, revealing detailed processes of nucleation, growth, aggregation, and distribution within sediment pores and allowing us to understand natural gas hydrate reservoir formation mechanisms from a microscopic perspective. Through the combined use of large-scale analytical instruments, it becomes possible to achieve full-scale pore structure characterization from the nanometer to millimeter scales, establish corresponding quantitative characterization methods for pore structures, uncover the microscopic mechanisms of natural gas hydrate exploitation and seepage, and provide technical support for the efficient development of marine natural gas hydrate resources.