This paper proposes a new method for interpreting the results of field studies within three steady-state regimes to estimate the dynamic well drainage area (i.e., pressure disturbance area) for a gas condensate well. The technique takes into account the compaction properties of a reservoir and the thermodynamic properties of a gas condensate fluid system. The described method has been developed based on the Binary filtration model of a multicomponent hydrocarbon fluid system, which considers the gas condensate mixture as a composition of two pseudo-components. This model takes into account the phase transformation of pseudo-components and the mass exchange between the phases. The implementation of the new method requires data on well flow rates measured within three different steady-state conditions. The presented algorithm is verified using several examples covering wide range of formation pressure changes and rock compaction factors. Applying this methodology, for example, with PVT data of gas condensate mixture of the VIIth horizon of the Bulla-Deniz field (Azerbaijan) at various reservoir and bottomhole pressures, it was revealed that the mismatch between calculated values of the well drainage area and the actual values varied within a range of 0.97 to 2.6% and 0.58 to 1.9% error for non-deformable and deformable formations, respectively. With the introduction of the concept of an “imaginary well” (enlarged well), an expression was obtained for monitoring the activity of an aquifer. And for the first time, an approach for the numerical assessment of aquifer activity based on Jamalbeyli indexes has been proposed.
{"title":"Determination of dynamic drainage area of a gas condensate well, monitoring of aquifer activity, and quantitative evaluation of aquifer performance","authors":"Mahammad Asaf Jamalbayov, Tayfun Mahammad Jamalbayli","doi":"10.1007/s12517-024-11966-9","DOIUrl":"https://doi.org/10.1007/s12517-024-11966-9","url":null,"abstract":"<p>This paper proposes a new method for interpreting the results of field studies within three steady-state regimes to estimate the dynamic well drainage area (i.e., pressure disturbance area) for a gas condensate well. The technique takes into account the compaction properties of a reservoir and the thermodynamic properties of a gas condensate fluid system. The described method has been developed based on the Binary filtration model of a multicomponent hydrocarbon fluid system, which considers the gas condensate mixture as a composition of two pseudo-components. This model takes into account the phase transformation of pseudo-components and the mass exchange between the phases. The implementation of the new method requires data on well flow rates measured within three different steady-state conditions. The presented algorithm is verified using several examples covering wide range of formation pressure changes and rock compaction factors. Applying this methodology, for example, with PVT data of gas condensate mixture of the VII<sup>th</sup> horizon of the Bulla-Deniz field (Azerbaijan) at various reservoir and bottomhole pressures, it was revealed that the mismatch between calculated values of the well drainage area and the actual values varied within a range of 0.97 to 2.6% and 0.58 to 1.9% error for non-deformable and deformable formations, respectively. With the introduction of the concept of an “imaginary well” (enlarged well), an expression was obtained for monitoring the activity of an aquifer. And for the first time, an approach for the numerical assessment of aquifer activity based on Jamalbeyli indexes has been proposed.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1007/s12517-024-11979-4
Shirin Jahanmiri, Ali Aalianvari, Maliheh Abbaszadeh
The advance rate (AR) of tunnel boring machines (TBMs) plays a pivotal role in evaluating their efficiency in tunnel engineering projects. This study focuses on the development of precise prediction models for TBM performance employing advanced algorithms, including gene expression programming, time series analysis, multivariate regression, artificial neural networks, particle aggregation algorithms, genetic algorithms, adaptive neural fuzzy inference systems, and support vector machines. The AR, serving as a performance metric, becomes the specific target for prediction models. A test database comprising 3597 datasets was curated from a tunneling project at the Sar Pol Zahab, Bazi Daraz water transfer tunnel. Utilizing 21 parameters as input variables, intelligent AR models were formulated based on comprehensive training and testing patterns, incorporating geological features and the key machine parameters influencing AR. Quantitative evaluation of the models involved statistical indicators such as root mean square error (RMSE), coefficient of determination (R2), and variance calculation. Comparative analysis based on RMSE, MAE, MAPE, VAF, and R2 superior gene expression function models showed that the gene expression algorithm with 1.41, 0.66, 6.33, 98.88, and 0.95 ahead of the nose is better than other approaches. These results underscore the efficacy of the gene expression programming-based model, suggesting its potential to yield a novel functional equation for accurate TBM performance prediction.
在隧道工程项目中,隧道掘进机(TBM)的进尺率(AR)在评估其效率方面起着举足轻重的作用。本研究的重点是利用基因表达编程、时间序列分析、多元回归、人工神经网络、粒子聚集算法、遗传算法、自适应神经模糊推理系统和支持向量机等先进算法,开发隧道掘进机性能的精确预测模型。作为性能指标的 AR 成为预测模型的具体目标。从 Sar Pol Zahab、Bazi Daraz 输水隧道的一个掘进项目中整理出了一个包含 3597 个数据集的测试数据库。利用 21 个参数作为输入变量,在综合训练和测试模式的基础上,结合地质特征和影响 AR 的关键机器参数,建立了智能 AR 模型。模型的定量评估包括均方根误差(RMSE)、判定系数(R2)和方差计算等统计指标。基于 RMSE、MAE、MAPE、VAF 和 R2 的优势基因表达函数模型比较分析表明,基因表达算法的 1.41、0.66、6.33、98.88 和 0.95 超前性优于其他方法。这些结果凸显了基于基因表达编程模型的功效,表明它有可能产生一个新的功能方程,用于准确预测 TBM 性能。
{"title":"A case study of tunnel boring machines advance rate prediction using meta-heuristic techniques","authors":"Shirin Jahanmiri, Ali Aalianvari, Maliheh Abbaszadeh","doi":"10.1007/s12517-024-11979-4","DOIUrl":"https://doi.org/10.1007/s12517-024-11979-4","url":null,"abstract":"<p>The advance rate (AR) of tunnel boring machines (TBMs) plays a pivotal role in evaluating their efficiency in tunnel engineering projects. This study focuses on the development of precise prediction models for TBM performance employing advanced algorithms, including gene expression programming, time series analysis, multivariate regression, artificial neural networks, particle aggregation algorithms, genetic algorithms, adaptive neural fuzzy inference systems, and support vector machines. The AR, serving as a performance metric, becomes the specific target for prediction models. A test database comprising 3597 datasets was curated from a tunneling project at the Sar Pol Zahab, Bazi Daraz water transfer tunnel. Utilizing 21 parameters as input variables, intelligent AR models were formulated based on comprehensive training and testing patterns, incorporating geological features and the key machine parameters influencing AR. Quantitative evaluation of the models involved statistical indicators such as root mean square error (RMSE), coefficient of determination (<i>R</i><sup>2</sup>), and variance calculation. Comparative analysis based on RMSE, MAE, MAPE, VAF, and <i>R</i><sup>2</sup> superior gene expression function models showed that the gene expression algorithm with 1.41, 0.66, 6.33, 98.88, and 0.95 ahead of the nose is better than other approaches. These results underscore the efficacy of the gene expression programming-based model, suggesting its potential to yield a novel functional equation for accurate TBM performance prediction.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1007/s12517-024-11954-z
Aloys Thierry Ndzié Mvindi, Lise Carole Okomo Atouba, Marie Thérèse Nanga Bineli, Willy Passy Mvindi Mvindi, Ghislain Nguentchou Tchanfa, Vincent Laurent Onana, Georges Emmanuel Ekodeck
Lateritic gravels are extensively used in road construction and other civil engineering structures. Depending on various parameters, genetic characteristics vary from one locality to another. Geological analyses were conducted to investigate their influence on the geotechnical properties of lateritic gravels developed on gneiss for their better use in road construction. Petrographical, mineralogical, and geochemical results show the existence of two types of lateritic gravels in the study area: yellowish to brownish lateritic gravels of humid savannah (LGHS) and reddish lateritic gravels of dry savannah (LGDS). These materials mostly content quartz, kaolinite, hematite, goethite, muscovite, gibbsite, anatase, Fe2O3, Al2O3, and SiO2. The hematite, goethite, Fe2O3, and Al2O3 content has a positive influence on the geotechnical behavior of the studied lateritic gravels, while the content of quartz, muscovite, and SiO2 has the opposite effect. The evaluation of alterologic parameters show that the degree of lateritization has a positive influence on CBR, maximum dry density, and the specific gravity. Three CBR models with determination coefficients R2 = 0.85, 0.87, and 0.88 were established by associating the genetic characteristics of the materials with geotechnical parameters. The outcomes of the present study show that geotechnical properties of lateritic gravels are significatively influenced by their genetic characteristics. Is therefore important to performed geological studies for a better use of lateritic gravels in road construction.
{"title":"Influence of mineralogical and geochemical multi-parameters on the geotechnical properties of gneiss-derived lateritic gravels from an equatorial zone, center Cameroon","authors":"Aloys Thierry Ndzié Mvindi, Lise Carole Okomo Atouba, Marie Thérèse Nanga Bineli, Willy Passy Mvindi Mvindi, Ghislain Nguentchou Tchanfa, Vincent Laurent Onana, Georges Emmanuel Ekodeck","doi":"10.1007/s12517-024-11954-z","DOIUrl":"https://doi.org/10.1007/s12517-024-11954-z","url":null,"abstract":"<p>Lateritic gravels are extensively used in road construction and other civil engineering structures. Depending on various parameters, genetic characteristics vary from one locality to another. Geological analyses were conducted to investigate their influence on the geotechnical properties of lateritic gravels developed on gneiss for their better use in road construction. Petrographical, mineralogical, and geochemical results show the existence of two types of lateritic gravels in the study area: yellowish to brownish lateritic gravels of humid savannah (LGHS) and reddish lateritic gravels of dry savannah (LGDS). These materials mostly content quartz, kaolinite, hematite, goethite, muscovite, gibbsite, anatase, Fe<sub>2</sub>O<sub>3</sub>, Al<sub>2</sub>O<sub>3</sub>, and SiO<sub>2</sub>. The hematite, goethite, Fe<sub>2</sub>O<sub>3</sub>, and Al<sub>2</sub>O<sub>3</sub> content has a positive influence on the geotechnical behavior of the studied lateritic gravels, while the content of quartz, muscovite, and SiO<sub>2</sub> has the opposite effect. The evaluation of alterologic parameters show that the degree of lateritization has a positive influence on CBR, maximum dry density, and the specific gravity. Three CBR models with determination coefficients <i>R</i><sup>2</sup> = 0.85, 0.87, and 0.88 were established by associating the genetic characteristics of the materials with geotechnical parameters. The outcomes of the present study show that geotechnical properties of lateritic gravels are significatively influenced by their genetic characteristics. Is therefore important to performed geological studies for a better use of lateritic gravels in road construction.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1007/s12517-024-11965-w
Md. Zakir Hossain, Ripon Hore, Mehedi A. Ansary
This research investigates the seismic response of sand-made wrap-faced retaining walls using a shaking table, focusing on the impact of varying relative densities and frequencies on the dynamic characteristics of the walls. Two types of sand have been used to prepare retaining wall model for shake table testing. They are “Local” sand and “Sylhet” sand. A 2 m × 2 m computer-controlled servo-hydraulic single degree of freedom shaking table facility in geotechnical laboratory of Bangladesh University of Engineering and Technology (BUET) has been used to test the model under sinusoidal loading. Here, different kinds of combination of seismic waves of different frequencies are selected to apply on different densities wrap-faced wall model in order to observe their dynamic characteristics. The relative densities of Sylhet sand are chosen 48%, 64%, and 80% for preparing the model wall. On the other hand, 48%, 64%, and 80% are selected for preparing Local sand model. Portable traveling pluviator (PTP) developed by (Hossain and Ansary, Innov Infrastruct Solut 3:53, 2018) has been used here to construct the uniform wrap-faced retaining wall model. Tests are performed under three different surcharge pressures like 0.7 kPa, 1.12 kPa, and 1.72 kPa. Sinusoidal tests are implemented for three base accelerations (0.1 g, 0.15 g, and 0.2 g) and for eight different frequencies (1 Hz, 2 Hz, 3 Hz, 5 Hz, 8 Hz, 10 Hz, 12 Hz, and 15 Hz). In the end, from these test results, it has been observed that acceleration amplification is inversely proportional to relative density. Further, acceleration amplifications are increased with the rise of frequencies. On the other hand, face displacement has been decreased with the increase of the relative density and frequency at same normalized elevation. The test results have been compared with (Krishna and Latha, Geosynth Int 14:355–364, 2007), although they used poorly graded sand and different scaling factor of the retaining wall model. It has been also noticed that the Sylhet sand retaining wall shows more acceleration amplification during sinusoidal loading than the Local sand retaining wall. In this research, the impact of different kinds of relative densities and frequencies on wrap-faced retaining wall model under sinusoidal testing has been observed.
{"title":"Model tests of reinforced soil retaining sand walls by shaking table test","authors":"Md. Zakir Hossain, Ripon Hore, Mehedi A. Ansary","doi":"10.1007/s12517-024-11965-w","DOIUrl":"https://doi.org/10.1007/s12517-024-11965-w","url":null,"abstract":"<p>This research investigates the seismic response of sand-made wrap-faced retaining walls using a shaking table, focusing on the impact of varying relative densities and frequencies on the dynamic characteristics of the walls. Two types of sand have been used to prepare retaining wall model for shake table testing. They are “Local” sand and “Sylhet” sand. A 2 m × 2 m computer-controlled servo-hydraulic single degree of freedom shaking table facility in geotechnical laboratory of Bangladesh University of Engineering and Technology (BUET) has been used to test the model under sinusoidal loading. Here, different kinds of combination of seismic waves of different frequencies are selected to apply on different densities wrap-faced wall model in order to observe their dynamic characteristics. The relative densities of Sylhet sand are chosen 48%, 64%, and 80% for preparing the model wall. On the other hand, 48%, 64%, and 80% are selected for preparing Local sand model. Portable traveling pluviator (PTP) developed by (Hossain and Ansary, Innov Infrastruct Solut 3:53, 2018) has been used here to construct the uniform wrap-faced retaining wall model. Tests are performed under three different surcharge pressures like 0.7 kPa, 1.12 kPa, and 1.72 kPa. Sinusoidal tests are implemented for three base accelerations (0.1 g, 0.15 g, and 0.2 g) and for eight different frequencies (1 Hz, 2 Hz, 3 Hz, 5 Hz, 8 Hz, 10 Hz, 12 Hz, and 15 Hz). In the end, from these test results, it has been observed that acceleration amplification is inversely proportional to relative density. Further, acceleration amplifications are increased with the rise of frequencies. On the other hand, face displacement has been decreased with the increase of the relative density and frequency at same normalized elevation. The test results have been compared with (Krishna and Latha, Geosynth Int 14:355–364, 2007), although they used poorly graded sand and different scaling factor of the retaining wall model. It has been also noticed that the Sylhet sand retaining wall shows more acceleration amplification during sinusoidal loading than the Local sand retaining wall. In this research, the impact of different kinds of relative densities and frequencies on wrap-faced retaining wall model under sinusoidal testing has been observed.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-30DOI: 10.1007/s12517-024-11961-0
Fetene Tariku, Solomon Kassa, Samuel Getnet
The Blue Nile Basin is one of the frontier basins in Ethiopia, where there is very limited sub-surface data to understand the petroleum system of the basin. In frontier basins, only comparative analogs can be used for reservoir studies. The main purpose of the study is to elucidate the importance of facies, stratigraphic, and provenance study to comprehend the nature of the reservoir rock in the Blue Nile Basin. The study reveals the presence of eight lithofacies in the study area. The textural, structural, and compositional data and the general fining-upward sequence of the upper sandstone attest fluvial deposition by braided river system. The presence of the dominant medium-grained quartz arenite with moderate cementation (diagenesis) effect in the upper sandstone is an indication for the existence of good reservoir rock in the basin. The upper sandstone is relatively thinner in the study area, average 75 m, compared to the central part of the basin, average 220 m, and this depicts the geometry of the upper sandstone which pinches out to the north of the basin. Comparison of provenance and cement types of the upper sandstone in the study area and central part of the basin revealed the existence of similar nature of reservoir rock in the basin.
{"title":"Lithofacies, stratigraphy, and provenance study of upper sandstone, Blue Nile (Abay) Basin, Ethiopia: insight to the distribution of reservoir facies","authors":"Fetene Tariku, Solomon Kassa, Samuel Getnet","doi":"10.1007/s12517-024-11961-0","DOIUrl":"https://doi.org/10.1007/s12517-024-11961-0","url":null,"abstract":"<p>The Blue Nile Basin is one of the frontier basins in Ethiopia, where there is very limited sub-surface data to understand the petroleum system of the basin. In frontier basins, only comparative analogs can be used for reservoir studies. The main purpose of the study is to elucidate the importance of facies, stratigraphic, and provenance study to comprehend the nature of the reservoir rock in the Blue Nile Basin. The study reveals the presence of eight lithofacies in the study area. The textural, structural, and compositional data and the general fining-upward sequence of the upper sandstone attest fluvial deposition by braided river system. The presence of the dominant medium-grained quartz arenite with moderate cementation (diagenesis) effect in the upper sandstone is an indication for the existence of good reservoir rock in the basin. The upper sandstone is relatively thinner in the study area, average 75 m, compared to the central part of the basin, average 220 m, and this depicts the geometry of the upper sandstone which pinches out to the north of the basin. Comparison of provenance and cement types of the upper sandstone in the study area and central part of the basin revealed the existence of similar nature of reservoir rock in the basin.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the fact that traditional rock constitutive models are constructed under static loading conditions and cannot accurately describe the mechanical behavior of rocks under dynamic loading, it is of great theoretical value to study the dynamic constitutive theory exhibited by layered shale under impact loading. This article constructs a dynamic damage constitutive theory for layered shale based on the dynamic mechanical deformation and failure characteristics exhibited by shale with different bedding dip angles in impact loading experiments. Based on this theoretical model, a program of the finite element method was developed to numerically simulate the impact test process of layered shale. The results indicate that the finite element program developed based on the dynamic damage constitutive model in this article can effectively reflect the dynamic mechanical characteristics of layered shale during impact loading.
{"title":"Dynamic constitutive theory of shale and numerical solution","authors":"Hongmei Cheng, Xiangqi Zhang, Heng Chen, Guangming Xiao","doi":"10.1007/s12517-024-11950-3","DOIUrl":"https://doi.org/10.1007/s12517-024-11950-3","url":null,"abstract":"<p>Due to the fact that traditional rock constitutive models are constructed under static loading conditions and cannot accurately describe the mechanical behavior of rocks under dynamic loading, it is of great theoretical value to study the dynamic constitutive theory exhibited by layered shale under impact loading. This article constructs a dynamic damage constitutive theory for layered shale based on the dynamic mechanical deformation and failure characteristics exhibited by shale with different bedding dip angles in impact loading experiments. Based on this theoretical model, a program of the finite element method was developed to numerically simulate the impact test process of layered shale. The results indicate that the finite element program developed based on the dynamic damage constitutive model in this article can effectively reflect the dynamic mechanical characteristics of layered shale during impact loading.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140798819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-25DOI: 10.1007/s12517-024-11963-y
S. E. Ali Rahmani, B. Chibane, Abdelkader Bouderbala
{"title":"Waterquality 1.0: a software for HHR, WQI, and geochemistry assessment case of mineral and spring water commercialized in Algeria","authors":"S. E. Ali Rahmani, B. Chibane, Abdelkader Bouderbala","doi":"10.1007/s12517-024-11963-y","DOIUrl":"https://doi.org/10.1007/s12517-024-11963-y","url":null,"abstract":"","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140655844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Selection of multiple ensemble representative CMIP5 climate models for climate change study in developing river basin: the case of Awash River Basin, Ethiopia","authors":"Asmare Belay Nigussie, Hailu Wondmageghu Tenfie, Andualem Endalew","doi":"10.1007/s12517-024-11959-8","DOIUrl":"https://doi.org/10.1007/s12517-024-11959-8","url":null,"abstract":"","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-23DOI: 10.1007/s12517-024-11960-1
Isaac Aigbedion, S. O. Salufu, Daniel O. Aikhuele
{"title":"Ikogosi, Olumirin Erin, and Arinta spring potentials for renewable energy generation: indication from their geological and hydrogeological attributes","authors":"Isaac Aigbedion, S. O. Salufu, Daniel O. Aikhuele","doi":"10.1007/s12517-024-11960-1","DOIUrl":"https://doi.org/10.1007/s12517-024-11960-1","url":null,"abstract":"","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1007/s12517-024-11970-z
Lvlin Xiang, Qingqing Shen, Jiajun Zeng, Qiyun Wang
{"title":"Prediction of initiation mechanism of three-dimensional penetrating single crack","authors":"Lvlin Xiang, Qingqing Shen, Jiajun Zeng, Qiyun Wang","doi":"10.1007/s12517-024-11970-z","DOIUrl":"https://doi.org/10.1007/s12517-024-11970-z","url":null,"abstract":"","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":null,"pages":null},"PeriodicalIF":1.827,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}