Natural Gas Reserves Research Articles

Gas Flaring and its Socioeconomic Implications for Rural Communities in Kurdistan Region of Iraq (KRI): Reflections on the Impact of Gas Flaring in Tawke Community

The study critically examines the problem of gas flaring and its socioeconomic implications in the KRI with emphasis on Tawke community who are predominantly peasant rural farmers. For several decades, KRI allowed natural gas to be flared which poses severe challenges to health, agricultural productivity and the environment with huge socioeconomic dimension to the survival of the local population. Although Iraq has sizeable natural gas reserves, however, about 70% of natural gas produced are flared which is responsible for more than 20 million tons of CO2 emissions annually that cost the domestic economy billions of dollars in lost revenue and other consequences including threat to public health and the environment. Thus, the study conducted simple narrative and in-depth qualitative in-person interview with some employees of DNO, public sector workers and members of the Tawke community on the impact and socioeconomic implications of gas flaring on their livelihood. The research findings resonate and lend credence to the widely held views on the state of the environment in KRI and revealed severe environmental consequences, health consequences, low yields in agriculture with socioeconomic and cultural implications on livelihood of the local people particularly Tawke community.

Enhanced syngas production through dry reforming of methane with Ni/CeZrO2 catalyst: Kinetic parameter investigation and CO2-rich feed simulation

Natuna's natural gas reserve, which contains 70 %–v CO2 and 30 %–v CH4, opens a prospective method for producing syngas through the dry reforming of methane (DRM). This study used the equation and determination of kinetic parameters in a fixed-bed reactor to develop the operating conditions for the DRM process. The catalyst used was 10 %Ni/CeZrO2 and followed the Langmuir-Hinshelwood mechanism, with CH4 dissociation (activation of C–H bonds) on the Ni catalyst as the rate-determining step. According to the results, the simulation and experimental data have error values of ≤ 5 % and RMSE < 0.046. This indicates that the equation and kinetic parameters used in the simulation are valid for reactor modeling. Steady-state modeling was then conducted using a 1D quasihomogeneous model. The feed composition of CO2:CH4 = 70:30 (Natuna gas field composition) has optimized results with temperature 700 °C, CH4 conversion at 92 %, CO2 conversion at 28 %, and H2/CO ratio 1.42, and carbon formation at 7.1 mgC/gcat. This study also found that a higher CO2:CH4 feed ratio could reduce carbon formation during DRM.

Natural gas as a generating source in the diversification of the Brazilian electric matrix

Energy consumption grows annually, requiring an increase in the production and distribution standards of available energy sources. One of the main energy consumptions is linked to the electricity sector, which is globally dependent on fossil fuels such as oil and coal. In Brazil, more than 60% of electricity consumption comes from hydroelectric plants, and the lack of variability in generating sources generates instability and energy insecurity in the country. In this sense, it is necessary to evaluate an alternative source of electricity that can work together with hydroelectric plants and guarantee the stability of generation. Natural gas presents itself as an alternative, as it is a safe source and less aggressive to the environment when compared to other non-renewable sources. Through data collection and bibliographic research on proven reserves, processing capacity, and distribution of natural gas, this work analyzed the Brazilian potential for the use of natural gas and the biggest gaps in the sector. The results showed that, despite the great potential in proven natural gas reserves, Brazil is stagnant in its processing and distribution capacity. In addition, there are challenges related to high rates and taxes on the use of natural gas.

Research Progress onLeak Prevention and Plugging Technology in Deepwater Drilling

Abstract With the continuous development of global oil and gas resources, onshore and shallow water crude oil production is no longer sufficient to meet the demand. Therefore, deepwater oil and gas exploration and development have attracted high attention from various countries. China’s oceans are vast and rich in offshore oil resources, especially in the South China Sea, where oil and natural gas reserves are enormous. In recent years, it has become a key focus of national offshore oil exploration and development. The increasing complexity of deep-sea well leakage in the ocean and the increasing difficulty of management have brought great challenges to drilling construction and also caused significant economic losses. Therefore, the research on leak prevention and plugging technology for deep water in the ocean has become particularly important. This article investigates the current research status of deep water leakage prevention and plugging technology both domestically and internationally, discusses the main problems that exist in the development and drilling process of deep water oil and gas fields, analyzes the reasons for well leakage, and proposes corresponding solutions.

Evaluation of Green and Blue Hydrogen Production Potential in Saudi Arabia

The Kingdom of Saudi Arabia has rich renewable energy resources, specifically wind and solar in addition to geothermal beside massive natural gas reserves. This paper investigates the potential of both green and blue hydrogen production for five selected cities in Saudi Arabia. To accomplish the said objective, a techno-economic model is formulated. Four renewable energy scenarios are evaluated for a total of 1.9 GW installed capacity to reveal the best scenario of Green Hydrogen Production (GHP) in each city. Also, Blue Hydrogen Production (BHP) is investigated for two cases of Steam Methane Reforming (SMR) with different percentages of carbon capture. The two BHP scenarios were compared with a base case scenario of hydrogen production from natural gas without CCS/U (gray hydrogen). The economic analysis for both GHP and BHP is performed by calculating the Levelized Cost of Hydrogen (LCOH) and cash flow. The LCOH for GHP range for all cities ($3.27/kg–$12.17/kg)) with the lowest LCOH is found for NEOM city (50% PV and 50% wind) ($3.27/kg). LCOH for the three SMR cases are $0.534/kg, $0.647/kg, and $0.897/kg for SMR wo CCS/U, SMR 55% CCS/U, and SMR 90% CCS/U respectively.

Accurate identification of salt domes using deep learning techniques: Transformers, generative artificial intelligence and liquid state machines

AbstractAcross various global regions abundant in oil and natural gas reserves, the presence of substantial sub‐surface salt deposits holds significant relevance. Accurate identification of salt domes becomes crucial for enterprises engaged in oil and gas exploration. Our research introduces a precise method for the automatic detection of salt domes, leveraging advanced deep learning architectures such as U‐net, transformers, artificial intelligence generative models and liquid state machines. In comparison with state‐of‐the‐art techniques, our model demonstrates superior performance, achieving a stable and validated intersection over the union metric, indicating high accuracy and robustness. Furthermore, the Dice similarity coefficient attaining underscores the model's proficiency in closely aligning with ground truth across diverse scenarios. This evaluation, conducted on 1000 seismic images, reveals that our proposed architecture is not only comparable but often surpasses existing segmentation models in effectiveness and reliability.

Decoupling and predicting natural gas deviation factor using machine learning methods

Accurately predicting the deviation factor (Z-factor) of natural gas is crucial for the estimation of natural gas reserves, evaluation of gas reservoir recovery, and assessment of natural gas transport in pipelines. Traditional machine learning algorithms, such as Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), Artificial Neural Network (ANN) and Bidirectional Long Short-Term Memory Neural Networks (BiLSTM), often lack accuracy and robustness in various situations due to their inability to generalize across different gas components and temperature-pressure conditions. To address this limitation, we propose a novel and efficient machine learning framework for predicting natural gas Z-factor. Our approach first utilizes a signal decomposition algorithm like Variational Mode Decomposition (VMD), Empirical Fourier Decomposition (EFD) and Ensemble Empirical Mode Decomposition (EEMD) to decouple the Z-factor into multiple components. Subsequently, traditional machine learning algorithms is employed to predict each decomposed Z-factor component, where combination of SVM and VMD achieved the best performance. Decoupling the Z-factors firstly and then predicting the decoupled components can significantly improve prediction accuracy of all traditional machine learning algorithms. We thoroughly evaluate the impact of the decoupling method and the number of decomposed components on the model’s performance. Compared to traditional machine learning models without decomposition, our framework achieves an average correlation coefficient exceeding 0.99 and an average mean absolute percentage error below 0.83% on 10 datasets with different natural gas components, high temperatures, and pressures. These results indicate that hybrid model effectively learns the patterns of Z-factor variations and can be applied to the prediction of natural gas Z-factors under various conditions. This study significantly advances methodologies for predicting natural gas properties, offering a unified and robust solution for precise estimations, thereby benefiting the natural gas industry in resource estimation and reservoir management.

Statistical analysis of fuel combustion and emissions considering the adverse effects of investment economic environment: Exploring alternatives amid oil prices Swings, digital economy, and local market inflation

The depletion of natural gas reserves, combined with rising oil prices, local market inflation, and concerns about pollution, has accelerated the search for alternative energy sources. As a result, research on turbines and internal combustion engines for electricity generation is increasingly focusing on using vaporized ethanol as a fuel substitute. However, the high cost of analyzing the chemical composition of these fuels often leads to an oversight of their impact on combustion characteristics, such as flame behavior, emission profiles, and temperature distribution.This study employs a statistical approach to assess the combustion and emission characteristics of biofuels, aiming to find suitable alternatives to petroleum-based fuels. By integrating considerations of oil price fluctuations and the digital economy's impact, the research proposes a cost-effective method for evaluating the chemical makeup of vaporized fuels and their effects on post-combustion pollution.Experimental data reveal that alternative fuels can offer stable ignition performance and lower pollution levels, contingent on their specific properties. Fuels with high aromatic content and viscosity tend to produce significant CO emissions, while reducing these characteristics may increase CO2 production. The study also highlights the challenge of simultaneously reducing both CO and NOx emissions. Additionally, the findings show that petroleum gasoline, due to its lower volatility, has favorable fire safety properties and generates fewer pollutants.In the context of economic pressures from rising oil prices and inflation, this research underscores the importance of exploring biofuels as viable, sustainable alternatives for the future energy landscape.

Performance evaluation of fracturing fluids in the presence of NaCl, CaCl2 and KCl as hydrate inhibitors for extremely low temperature stimulation applications

Naturally occurring gas hydrates are established as an abundant reserve of natural gas. Production initiatives raised challenges such as low production rate, freezing problems, water, and sand production along with geomechanical concerns. Recent studies suggest that fracturing the sediment can significantly improve the conductivity and productivity of such reserves. This study is an initiative to verify the suitability of conventionally used polymer (guar) for fracturing at extremely low temperatures along with the integration of widely available gas hydrate inhibitors for efficient stimulation. Established inhibitors such as NaCl, CaCl2 and KCl were introduced to linear and crosslinked gels to study their compatibility with the reference guar-based gels. The inhibitor integrated linear gel samples demonstrated similar performance trends to that of the reference gel establishing their compatibility with the polymer, whereas the inhibitor integrated crosslinked samples displayed deswelling nature. The low concentration inhibitor integrated linear gel samples performed superior to the reference gel whereas the high concentration sample inhibited the swelling performance of the polymer. Both the reference and inhibitor integrated linear gel samples gradually disintegrated after 48 h leaving behind soft cloudy residue, whereas the inhibitor integrated crosslinked samples rapidly released water and contracted into a solid residue which can cause serious flow related disruptions during operations and apparently damage the conductivity of the sediment for long term. This study delivers crucial understanding on how various salts interact with guar polymers at low temperatures and whether their presence can be a boon or bane during the design of a fracturing fluid.

Modelling and optimization of an existing onshore gas gathering network using PIPESIM

Pakistan has limited natural gas reserves, and most are found onshore. This article reports on the problems of an onshore gas gathering network (GGN) analysed through steady-state simulation modelling using PIPESIM software. The research methodology incorporates a comprehensive steady-state hydraulic analysis considering fluid flowing velocity limitations, liquid holdup and slugging along with other issues faced by gas gathering networks. The steady-state hydraulic analysis has led us to pinpoint specific GGN pipelines facing critically low gas velocities and consequent liquid holdup. Addressing these issues involved application of PIPESIM software for modelling, considering various operating schemes of gas-producing wells and their associated pipelines. To select an optimal operating scheme, the study utilized the Analytic Hierarchy Process (AHP) for operational optimization, to identify the most effective solution for reduced liquid holdup, improving production, and ensuring the safe operation among available alternatives. Findings from our hydraulic analysis highlight the importance of reducing GGN outlet pressure to mitigate challenges associated with liquid holdup which causes slugging and back pressure effect at source leading to low production and poor performance of the GGN. Study of three alternative cases reveals that decreasing outlet pressure lowers the liquid holdup, improve gas flowing velocities, and enhanced overall production. These findings validate our hypothesis that reducing GGN outlet pressure is a viable strategy to lower the liquid holdup in pipelines. This research offers significant value by providing a comprehensive solution to GGN liquid holdup, low flowing velocities, back pressure and low production challenges. The integration of steady-state hydraulic analysis, simulation modelling with PIPESIM, and the application of AHP for optimization contributes novel insights into the optimization of operation of gas gathering networks. Emphasizing the reduction of liquid holdup and enhancing production through outlet pressure adjustments offers a practical framework for optimizing the functionality of gas gathering networks.

Helium Geochemical Characteristics and Favorable Zones in the Tarim Basin: Implications for Helium Exploration

Helium is an irreplaceable ore resource for many applications, such as nuclear magnetic resonance, aviation, semiconductors, and nuclear energy. Extracting helium in a free state from natural gas is currently the only economical approach at the industrial level. In this study, we compiled geochemical data of 719 natural gas samples from 36 oil and gas fields in the Tarim basin that include experimental results and previously reported data. Helium is of primarily crustal origin in the Tarim Basin according to helium isotope characteristics (not exceeding 0.1 Ra), except in the Ake gas field that has not more than 7% of mantle helium. Helium concentrations in diverse tectonic units vary considerably. Oil-type gas, on the whole, has a higher helium concentration relative to coal-type gas. Abundant helium flux, a favorable fault system between the source-reservoir system, no strong charging of gaseous hydrocarbons, and the good sealing capacity are important factors that control the formation of helium-rich gas fields. Considering both the helium concentration and natural gas reserves, helium-rich gas fields located in the Southwest Depression and Tabei Uplift can be regarded as the major favorable zones of further deployment for helium extraction.

People centric governance model for smart cities development: A systematic review, thematic analysis, and findings

In the Gulf Cooperation Council (GCC) region, comprising Saudi Arabia, the United Arab Emirates, Kuwait, Bahrain, Qatar, and Oman, advanced urban planning and cutting-edge projects signify a dedication to modernity and prosperity. These nations, renowned for substantial energy reserves, are crucial players in the global energy landscape, contributing 45% of proven oil reserves, 25% of oil exports, and 18% of proven natural gas reserves. Significant investments in planned cities showcase the GCC region’s commitment to renewable energy with megaprojects serving as key promoters of a nationalist vision for modernization and sustainability. Criticism has been directed at ambitious designs and sustainability rhetoric, as seen in projects like Masdar City, originally envisioned as carbon-neutral but encountering challenges in realization.The implementation of Smart Cities in Oman is in its early stages, marked by a lack of comprehensive industry-level studies and an absence of an established frameworkbased approach. Limited industry-level studies address citizen-centric Smart governance thereby impacting Quality of Life. Current research emphasizes technology and innovation rather than the cultural sentiments of the local community resulting in gaps in people-centric approach. Moreover, there’s no empirical research to validate the influence of People on Public-Private Partnership enterprises in Smart City development, necessitating the development of a conceptual framework or model to highlight the influence of people on Smart Cities. This deficiency is resulting in a stagnation of innovation and an insufficient quality of life. The goal is to measure the effectiveness of the participatory governance model in improving the quality of life for residents within the smart city. By addressing the identified deficiencies through the application of participatory governance, the research aims to pave the way for a more effective and people-centric approach to smart city development, ultimately fostering innovation, enhancing the quality of life, and promoting sustainable and inclusive outcomes.

Emulsification characteristics and dehydration of shale oil emulsions under high-frequency electric field

In the face of depleting conventional oil and natural gas reserves, the exploitation of shale oil resources increasingly important. However, the high stability of shale oil emulsions presents a significant challenge to its extraction. In this paper, the differences between shale oil and conventional crude oil and the reasons for the stability of shale oil emulsions were explored. In addition, different dehydration technologies for shale oil emulsions were compared and optimum operating parameters were determined through laboratory-scale experiments. The results show that shale oil emulsions contain much smaller droplets (< 2.25 μm) compared with conventional crude oil emulsions. Further, the high wax content of shale oil allows it to form a high-strength interfacial film at the oil-water interface under the combined action of fracturing fluids and natural emulsifiers, making the emulsion highly stable. Demulsification experiments showed that the use of high-frequency alternating current (AC) pulsed electric fields is an effective method for breaking shale oil emulsions. The optimal demulsification parameters were found to be an electric field frequency of 4 kHz, a field strength of 150 kV·m-1, a residence time of 50 min, an operating temperature of 55 °C, and a demulsifier concentration of 100 ppm. Under these conditions, the dehydrated shale oil was able to meet the standards for commercial crude oil.

Multi-parameter modeling for prediction of gas–water production in tight sandstone reservoirs

Tight sandstone reservoirs are significant sources of natural gas reserves. As traditional reserves become increasingly scarce and costly, optimizing the development of these reservoirs becomes crucial. This study introduces a novel two-phase gas–water flow model for single wells, incorporating both Darcy and non-Darcy flow equations. These equations are derived from mass conservation and momentum principles for both gas and water phases. Using data from a real tight gas well, our model, which includes stress-sensitive phases for gas and water, outperforms traditional Darcy flow models. Specifically, the average relative deviations in daily production rates were 0.1815% for gas and − 0.2677% for water, which are significantly smaller compared to traditional Darcy flow models. Further application of the non-Darcy flow model reveals strategies to enhance well performance. For example, mitigating liquid lock damage within a 2 m radius near the well could restore the permeability from 0.045 to 0.143 mD, thereby tripling the daily gas production. This non-Darcy flow model is easy to implement and shows significant potential in forecasting production yields in tight sandstone reservoirs, highlighting its importance in the petroleum and natural gas industry.

A Multivariate Analysis of the Interplay between Energy Resources, Economic Growth, and Financial Stability. Evidence from Azerbaijan

Abstract The aim of this research is to conduct an objective and predictive evaluation of Azerbaijan's economic growth from 1997 to 2022. Since Azerbaijan is a significant exporter and producer of energy resources, its economic growth is substantially influenced by the remarkable advancements in oil and gas extraction and production since the early 2000s. Methodologically, we have designed several models to ascertain the influence and impact of the following explanatory factors-oil reserves, natural gas reserves, net trade, current account balance, inflation rate, unemployment rate, interest rate and carbon dioxide emissions - on the economic growth rate. The study utilised a combination of uni- and multi-factorial linear regression techniques, with accuracy and robustness testing conducted on all eight models. Research hypotheses were tested and a predictive analysis was implemented and evaluated over the studied period. Our findings demonstrate that the growth of Azerbaijan's economy is positively impacted by the dynamics and development of energy product trade, particularly in oil. As a result, GDP increased by an average of 2.50%. It is also confirmed that inflation and unemployment have a negative impact which unavoidably leads to instability and an economic downturn. In contrast, the robustness indicators (namely, RMSE, MAE and MAPE) could assess the predictive analysis of economic growth. The validated, low values further endorse the credibility of the eight models in accurately forecasting the economic growth rate throughout the studied period. The study disproves the existence of a positive correlation between GDP and the quantity of carbon dioxide emissions. However, it has been demonstrated that Azerbaijan is taking significant measures to achieve its environmental objectives. These measures include the implementation of taxation, a reduction in CO2 emissions by up to 55% by 2030, and a shift towards renewable energy sources. Our research aims to enhance the utilisation of renewable energy resources, increase the efficiency of the domestic energy infrastructure and implement measures to moderate high levels of unemployment and inflation, thus ensuring sustained economic growth in Azerbaijan.

Are Natural Resources Harmful to the Ecology? Fresh Insights from Middle East and North African Resource-Abundant Countries

The Middle East and North African (MENA) region is among the regions most impacted by global warming and climate change. At the same time, the region accounts for 58% of global oil reserves and 43% of global natural gas reserves. It is, therefore, important to assess the role of natural resource abundance in the environmental degradation faced by MENA resource-abundant countries. This study contributes to this research area by exploring the short- and long-term repercussions of natural resources on the ecological footprint (EFP) of eight resource-rich MENA countries between 2000 and 2021. The research performs both aggregate and disaggregate assessments by considering the total resource rents, as well as specific rents of oil, natural gas, and minerals. The pooled mean group estimator indicates that a rise of 1% in total natural resources induces an increase of 0.053% in the EFP, implying that natural resources are harmful to the environment. The disaggregate analysis shows that oil rents have the most adverse environmental effects in the long run, followed by natural gas. Finally, mineral rents are determined to be neutral vis-à-vis the environment. In light of these findings, policy recommendations for reducing the adverse environmental impacts of natural resources are suggested.

Local community participation in Tanzania's natural gas sector: A dissection of policies and the regulatory frameworks

The discovery of significant natural gas reserves in Tanzania prompted the government to develop policies and regulatory frameworks for better management of this sector. Nevertheless, knowledge of how these policies and regulatory frameworks facilitate local community participation in the sector is scant and attention to these issues is limited. We use qualitative data and the Context Interaction Theory (CIT) as our lens to analyse the sectoral policies and regulatory frameworks to understand whether and how they facilitate local community participation. Our analysis revealed that the natural gas policies and frameworks have to some extent facilitated local community participation through provision of employment opportunities, participation in the implementation of Corporate Social Responsibility projects and protection of the gas infrastructures. However, meaningful local community participation is constrained by various factors including inadequate qualified and skilled individuals among the locals; misinformation to local community members; and insufficient awareness on the natural gas policies and regulatory frameworks. We recommend policies and regulatory frameworks that support local capacity development and empower local government authorities to develop their capacity for translating policies into practice on local community participation. These measures should involve ‘policy learning” from countries that have been successful in developing inclusive participation policies and responsive institutions.

Long-Term Energy System Modelling for a Clean Energy Transition in Egypt’s Energy Sector

Egypt has the potential to generate a significant amount of energy from renewable technologies, in particular solar PV, concentrated solar power (CSP), and onshore and offshore wind. The energy sector is reliant on fossil fuels, particularly natural gas, for electricity production and is at risk of locking itself into a high carbon pathway. Globally, reducing greenhouse gas (GHG) emissions associated with national energy sectors is a target outlined in the UN’s Paris Agreement. To reduce carbon dioxide (CO2) emissions associated with a higher dependence on fossil fuels, Egypt must consider upscaling renewable energy technologies (RETs) to achieve a clean energy transition (CET). This research modelled six scenarios using clicSAND for OSeMOSYS to identify the technologies and policy target improvements that are needed to upscale RETs within Egypt’s energy sector. The results showed that solar PV and onshore wind are key technologies to be upscaled to contribute towards Egypt’s CET. The optimal renewable target is the International Renewable Energy Agency’s (IRENA) target of 53% of electricity being sourced from RETs by 2030, which will cost USD 16.4 billion more up to 2035 than Egypt’s current Integrated Sustainable Energy Strategy (ISES) target of 42% by 2035; it also saves 732.0 MtCO2 over the entire modelling period to 2070. Socio-economic barriers to this transition are considered, such as recent discoveries of natural gas reserves combined with a history of energy insecurity, political instability impacting investor confidence, and a lack of international climate funding. The paper concludes with policy recommendations that would enable Egypt to progress towards achieving a CET.

Resource booms and the energy transition: What can we learn from Dutch economists' response to the discovery of natural gas reserves (1959–1977)?

Geopolitical instability and climate change are about to bring about large-scale energy reconfigurations. Recent discoveries of fossil fuel potential echo important historical episodes, starting with the finding of natural gas reserves in the Netherlands in 1959, which gave birth to the notion of Dutch Disease, in reference to the macroeconomic structural readjustments that followed the resource boom. Recently, the economic literature on whether such a boom might be a blessing or a curse for a country has been growing. What has not received attention so far is the attitude of Dutch economists in the 1960s and 1970s and the lessons to be drawn from them in today's economic research. This article explores how they understood the gas boom, how they anticipated its effects, and the role they played in shaping Dutch energy policies. We show that the 1960s were a parenthesis, and that energy optimism has historically been more an exception than a rule. In situ economists correctly anticipated some but not all of the transmission channels of the resource boom. These results are insightful for the 21st century, as they not only allow for historicizing the concept of the resource curse but also provide lessons for macroeconomic policies in the context of the energy transition, especially in countries endowed with fossil fuels and mineral resources.

A novel method for hydrogen synthesis in natural gas reservoirs

Hydrogen has been proven as a promising energy resource for a clean and sustainable future. However, the complete replacement of conventional hydrocarbon energy sources poses a challenge due to their widespread industrial utilization. Despite the gradual depletion of petroleum and natural gas reserves, they continued to serve as primary energy sources for many decades. But what if we could repurpose these hydrocarbons? Currently, fossil fuels that are both non-renewable and environmentally unfriendly are directly used for energy generation. Instead, we could convert hydrocarbons into a significantly cleaner alternative – hydrogen. This process implies in situ hydrogen generation even before hydrocarbons are recovered from a reservoir without releasing greenhouse gases into the atmosphere. In this context, we explore the conversion of methane into hydrogen in the gas reservoir with zero oil saturation via steam methane reforming initiated by in situ gas combustion. In the experimental model, different rock porous media were utilized and the process parameters such as temperature and the steam-to-methane ratio were varied. The outcome reveals a range of variations, each yielding different concentrations of hydrogen produced depending on these adjustable parameters. Our findings suggest the incredible potential for underground hydrogen generation in natural gas reservoirs. This approach holds great promise as a leading candidate for the foreseeable future, benefiting from the synergy of the fossil fuel industry and an innovative hydrogen production technology.