Article
Environmental Sciences
Yifang Xu, Sheng Ding, Peimin Chen, Hailong Tang, Hongkai Ren, Huabing Huang
Summary: This study calculates the horizontal geolocation error of multiple temporal GEDI footprints using a waveform matching method. The results show that the GEDI footprint geolocation error varies from 3.04 m to 65.03 m. The waveform matching method can significantly improve up to 32% of the temporal GEDI footprint datasets from a poor matching effect to a good matching effect.
Article
Engineering, Geological
Nam Hung Tran, Duc Phi Do, Minh Ngoc Vu, Thi Thu Naga Nguyen, Duc Tho Pham, Hung Truong Trieu
Summary: This work aims to investigate the safe mud pressure window of horizontal wellbore drilled in the saturated rock, considering the combined effect of anisotropy and uncertainty. Deterministic solutions are presented to calculate collapse and fracture initiation pressures under different conditions. Sensitivity analysis is conducted to identify key parameters related to anisotropy. Monte Carlo Simulation is utilized to quantify the uncertainty effect. Kriging metamodeling technique is applied to study wellbore stability. The results highlight the importance of considering anisotropy, uncertainty, and hydraulic boundary conditions in wellbore design.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Multidisciplinary Sciences
Ahmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Summary: This study introduces a new data-driven model using artificial neural networks to estimate the safe mud weight range for drilling operations. The model achieves high accuracy in predicting the minimum and maximum mud weights and new equations are established for calculating these parameters without complicated codes. The newly developed model and equations provide a timely and economically effective solution, with high accuracy whenever logging data is available.
SCIENTIFIC REPORTS
(2022)
Article
Geochemistry & Geophysics
Y. Yang, C. A. Langston, C. A. Powell, W. A. Thomas
Summary: We conducted a study using seismic noise data to investigate the velocity of rocks in the crust beneath the central United States. We developed a well-resolved three-dimensional velocity model of the mid-crust, revealing interesting features such as low velocities below the Mississippi Valley graben and high velocity crust southeast of the graben. The high velocity crust may have formed more than a billion years ago and could have influenced the location of the younger graben and the New Madrid seismic zone. We also observed features in the velocity model corresponding to gravity anomalies and changes in basement composition.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geochemistry & Geophysics
Dirk-Philip van Herwaarden, Solvi Thrastarson, Vaclav Hapla, Michael Afanasiev, Jeannot Trampert, Andreas Fichtner
Summary: In this study, a seismic model of the Africa Plate is constructed using the full-waveform inversion technique. The model is used for geodynamic and geochemical interpretation, earthquake-induced ground motion predictions, and earthquake source inversion. The data from 397 earthquakes and 184,356 source-receiver pairs are inverted to image the tectonic features of the Africa Plate. A new strategy to assess model uncertainty is proposed.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Geosciences, Multidisciplinary
Saeed Beheshtian, Meysam Rajabi, Shadfar Davoodi, David A. Wood, Hamzeh Ghorbani, Nima Mohamadian, Mehdi Ahmadi Alvar, Shahab S. Band
Summary: This study develops a novel machine learning method to predict the safe mud weight window (SMWW) for drilling gas and oil wells. By combining multiple layer extreme learning machine (MELM) with particle swarm optimization (PSO), the highest prediction accuracy is achieved for the subsurface pore and fracture pressures. The findings demonstrate the successful application of machine learning methods in accurately predicting SMWW.
MARINE AND PETROLEUM GEOLOGY
(2022)
Article
Engineering, Civil
Yi Yu, Johan Alexander Huisman, Anja Klotzsche, Harry Vereecken, Lutz Weihermueller
Summary: This study proposes a workflow for coupled GPR full-waveform inversion (CFWI) to estimate soil hydraulic properties. The research finds that CFWI can accurately estimate the thickness of soil layers and provide precise water retention and hydraulic conductivity functions.
JOURNAL OF HYDROLOGY
(2022)
Article
Energy & Fuels
Qingchao Li, Jingjuan Wu
Summary: Maintaining wellbore stability is crucial for efficient production of offshore gas hydrates. Due to drilling mud invasion and disturbance, gas hydrates around the wellbore gradually break down, leading to borehole collapse. This study investigates sediment strength under different hydrate saturation and develops a new strength criterion. The impact of several critical factors on the lower limit of safe mud weight is also examined. The results show that the new criterion provides a more conservative estimation and a wider window for mud density design, contributing to borehole collapse prevention. The study highlights the temperature sensitivity of the safe mud weight window and the influence of stress difference on the design strategy for hydrate development.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Geosciences, Multidisciplinary
Guang Qian, Jiashun Yu, Jianlong Yuan, Xiaobo Fu
Summary: This paper presents a method to reveal the complex structures around horizontal hydraulic fracturing wells using non-linear full waveform inversion (FWI) with perforation seismic data. The feasibility of the method was investigated through numerical modeling and experiments. The results show that FWI using perforation data successfully recovers the concealed complex structures, while the conventional ground surface seismic data produces poor results. The experiments also demonstrate that FWI using perforation data can image the faults around a horizontal hydraulic fracturing well, which cannot be achieved with conventional ground surface seismic data.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geochemistry & Geophysics
Qingyang Li, Guochen Wu
Summary: This paper presents a method to address parameter trade-offs in elastic full waveform inversion (EFWI) using the equivalent staggered grid (ESG) scheme. By applying the ESG scheme to EFWI and using a preconditioned gradient formula, computer memory usage can be significantly reduced and the trade-offs between P-wave and S-wave velocities can be mitigated.
Article
Environmental Sciences
Wanlong Huang, Wentie Sun, Hanyu Liu
Summary: The study finds that cataclastic coalbed is prone to borehole collapse and fracture during drilling, leading to groundwater pollution. The density of drilling fluid plays a crucial role in borehole stability and has different requirements for borehole expansion rate. The density of microcracks in the coal seam affects the lower limit of the drilling fluid safety density window.
FRESENIUS ENVIRONMENTAL BULLETIN
(2022)
Article
Geochemistry & Geophysics
Kai Wang, Yi Wang, Xin Song, Ping Tong, Qinya Liu, Yingjie Yang
Summary: Teleseismic full-waveform inversion can image lithospheric structures using hybrid methods, and the inclusion of secondary global phases through multiple plane-wave injection can reveal complex lithospheric structures. The method is reliable for practical tomography for small regions.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2022)
Article
Energy & Fuels
Ali Kadkhodaie
Summary: This study proposed an improved approach for classifying GMUs to reduce the uncertainty of wellbore stability models in an Iranian offshore oilfield. The optimal drilling direction and safe mud window were established based on rock mechanical tests and well logs data. The results showed that GMUs classification is effective in updating wellbore stability models and reducing the uncertainty of safe mud window design.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Jongha Hwang, Ju-Won Oh, Dong-Joo Min
Summary: The study suggests using pseudo-horizontal particle acceleration data for acoustic full-waveform inversion, which allows for better updating of the background velocity model. Both synthetic and real data examples demonstrate that this strategy outperforms the conventional strategy in terms of effectiveness and feasibility.
EXPLORATION GEOPHYSICS
(2022)
Article
Geochemistry & Geophysics
Adele Marie Harrypersad-Daniel, Oshaine Omar Blake, Ryan Ramsook
Summary: This study evaluates the compressive and tensile strengths of friable rocks and their impact on the safe mud weight window during borehole drilling. The results show that friable rocks have significant strength anisotropy and higher strength under saturation. The compressive strength anisotropy affects the lower mud weight limit of the safe mud weight window.
PURE AND APPLIED GEOPHYSICS
(2023)
Article
Polymer Science
Farzad Pashapouryeganeh, Ghasem Zargar, Ahmad Rabiee, Ali Kadkhodaie, Mohammad Ali Takassi
Summary: Synthetic water-soluble polymers, such as partially hydrolyzed polyacrylamide (HPAM), are commonly used in enhanced oil recovery and drilling fluid operations. However, they have low thermal stability and mechanical resistance. This research focuses on synthesizing a nanocomposite by adding nano-alumina particles to improve the properties of the polymer. The results show that the nanocomposite with 0.2 wt% nano-alumina has high rheological behavior.
Article
Environmental Sciences
Aziz Abdolahi, Ali Chehrazi, Ali Kadkhodaie, Seyedmohsen Seyedali
Summary: This study examines the Ghar Member, the most productive zone in the Oligo-Miocene-aged Asmari Formation in Iran's Hendijan Field, through petrophysical and seismic analyses, flow unit analysis, and facies modeling. It identifies the Ghar sand as the best interval within the Asmari Formation, equivalent to HFU-2 and HFU-4 in terms of reservoir quality.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Aziz Abdolahi, Ali Chehrazi, Hossain Rahimpour-Bonab, Ali Kadkhodaie, Seyedmohsen Seyedali, Ying Rao
Summary: This study compares two facies models for the reservoir characterization of the Asmari Formation in Iran, and finds that the model based on estimated facies volumes as a secondary variable is more reliable in predicting the reservoir facies.
JOURNAL OF GEOPHYSICS AND ENGINEERING
(2022)
Article
Energy & Fuels
Mostafa Sabouhi, Reza Moussavi-Harami, Ali Kadkhodaie, Payman Rezaee, Mahmoud Jalali
Summary: This study utilized Quantitively Diagenetic Modeling to analyze the sedimentological and diagenetic characteristics of Sarvak carbonate rocks, identifying the main diagenetic processes and related diagenetic classes, providing strong support for understanding reservoir properties.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Geology
Mohammad Derafshi, Ali Kadkhodaie, Hossain Rahimpour-Bonab, Rahim Kadkhodaie-Ilkhchi, Hamid Moslman-Nejad, Amir Ahmadi
Summary: Detecting and understanding pore types and geometries in porous media is essential for mapping reservoir properties. This study used velocity deviation logs and capillary pressure curves to estimate pore system properties of the Fahliyan Formation. Petrographic studies and velocity log calculations identified different pore types and their distribution in the reservoir. The results indicate that diagenesis plays a significant role in developing complex pore types and determining reservoir quality.
CARBONATES AND EVAPORITES
(2023)
Article
Engineering, Manufacturing
Amin Abdollahzadeh, Behrouz Bagheri, Ali Shamsipur
Summary: A joint of aluminum to copper sheets was successfully achieved by friction stir spot welding with a nanoparticle interlayer. The introduction of nanoparticles improved the microstructure and interface characteristics of the joints. Moreover, the use of nanoparticles decreased the thickness of the intermetallic compound layer in the bond interface and resulted in higher mechanical properties of the welded samples.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Energy & Fuels
Sirous Hosseinzadeh, Ali Kadkhodaie, David A. Wood, Reza Rezaee, Rahim Kadkhodaie
Summary: Understanding the fracture patterns in hydrocarbon reservoirs influenced by plate collision is crucial in the Zagros area of Iran. In this study, an integrated workflow was used to assess the impact of various fracture sets on heterogeneous carbonate reservoir rocks. The results indicate that secondary permeability significantly affects well productivity.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Environmental Sciences
Asghar Asghari Moghaddam, Soraya Nouri Sangarab, Ali Kadkhodaie Ilkhchi
Summary: By modifying the DRASTIC method and integrating the fuzzy knowledge, the DRASTICL model was developed to map vulnerable areas and pollution index, providing a basis for preventing groundwater pollution.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Geosciences, Multidisciplinary
Mostafa Sabouhi, Reza Moussavi-Harami, Ali Kadkhodaie, Payman Rezaee, Mahmoud Jalali, David A. Wood
Summary: This study provides a detailed analysis of the relationships between stratigraphic features and heterogeneities in carbonate reservoirs, emphasizing their importance for petroleum geologists. The findings highlight the impact of these stratigraphic features on reservoir characteristics, emphasizing their significance at regional and local scales for heterogeneity.
JOURNAL OF ASIAN EARTH SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Aziz Abdolahi, Mohammad Bahrehvar, Ali Chehrazi, Ali Kadkhodaie, David A. Wood
Summary: This study divides the Asmari Formation into six depositional sequences and develops 3D reservoir-property models. The high-permeability zones are associated with AS-4 and AS-5, which consist of grain-supported lithologies related to shoal facies. The lower-quality reservoir is seen in the supratidal, intertidal, and lagoonal facies of AS-2.
MARINE AND PETROLEUM GEOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Hassan Valinasab, Behzad Soltani, Hamid Hassanzadeh, Ali Kadkhodaie, Maziyar Nazemi, Ebrahim Abdolahi
Summary: This study integrates well data, seismic data, and literature to establish a seismic stratigraphic-based sedimentary conceptual model of the Berriasian-Early Valanginian Lower Fahliyan Formation in the northwestern Persian Gulf. Three depositional sequences were identified based on facies changes, depositional geometries, and fossil assemblages. Tectonic activities and sea-level changes controlled the sedimentation of the depositional sequences. It was concluded that the Lower Fahliyan Formation was deposited in the inner to outer settings of a carbonate shelf.
MARINE AND PETROLEUM GEOLOGY
(2023)
Article
Energy & Fuels
Amir Mazdarani, Ali Kadkhodaie, David A. Wood, Zohreh Soluki
Summary: This study focuses on the role of natural fractures in reservoir quality using image logs and conventional well logs. The interpretation of image logs reveals various natural structures and their relationships with reservoir characteristics. The relationship between fracture frequency and permeability shows that high permeability zones are correlated with high frequencies of open and vuggy fractures, which is important for optimizing reservoir development and resource recovery.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Energy & Fuels
Faramarz Talaie, Ali Kadkhodaie, Mehran Arian, Mohsen Aleali
Summary: This study analyzes the geochemical characteristics and interrelationships of the Cenomanian Sarvak oil reservoirs in the Persian Gulf basin. The research classifies the Sarvak oil samples and investigates the causes of genetic differences in oil families. The findings show that the oils in the Persian Gulf basin originate from different source rocks, and the thermal maturity and source rock locations vary among the oil families.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Energy & Fuels
Ahmad Azadivash, Hosseinali Soleymani, Ali Kadkhodaie, Farshid Yahyaee, Ahmad Reza Rabbani
Summary: This study utilized machine learning techniques to predict key parameters such as Organic Oxygen Index (OI), Hydrogen Index (HI), and kerogen type using petrophysical log data of a well in the Perth Basin. Six machine learning algorithms were used to predict OI and HI, with the Support Vector Machines method performing the best. Additionally, six classifiers were employed to determine kerogen types, and the Gradient Boosting method achieved the highest accuracy. The study concludes that machine learning methodologies, in combination with petrophysical logs, offer an efficient and accurate alternative for characterizing kerogen type and evaluating source rock.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Zahra Sadeqi-Arani, Ali Kadkhodaie
Summary: With the emergence of Artificial Intelligence and Machine Learning, the petroleum industry has made significant progress in optimizing decision making, time, and costs. This research analyzes bibliometric studies to provide an overview of the application of AI and machine learning in the upstream sector of the petroleum industry. The results show exponential growth in this field, with China, Iran, and the US being the leading countries in terms of publications. The most influential journal in this field is the 'Journal of Petroleum Science and Engineering', and SALAHELDIN ELKATATNY is the most productive author. The focus of AI and machine learning applications is on predicting and optimizing porosity, well logs, and permeability.
RESULTS IN ENGINEERING
(2023)
