Pub Date : 2023-05-18DOI: 10.1080/08123985.2023.2212697
M. Mirkamali, A. Javaherian, H. Hassani, M. Saberi, Sajjad Sarallah-Zabihi
High-frequency contents of reflections are essential in the investigation and interpretation of thin-bed reservoirs. These beds can be even more complicated in carbonate rocks, as pore geometries influence final seismic responses. To address these complexities, we propose a seismic forward modeling workflow to investigate several thin-bed reservoirs in a carbonate oilfield with variable pore geometries. The new workflow enhances the existing forward models for the investigation of thin beds by integrating seismic petrophysics, geological model building, and 2D finite-difference elastic modeling. We used seismic petrophysics to ensure the consistency between petrophysical well logs and seismic data using rock physics modeling. Then, we introduced a new high-resolution workflow for velocity modeling to build a reliable geological model. Finally, the 2D finite-difference elastic modeling is employed to generate synthetic traces based on our geological model to obtain seismic responses for the existing thin-bed reservoirs. The forward models used in this study are a powerful tool for investigating thin layers because they enable high-resolution investigation of the given geological model in distinguishing lateral and vertical lithofacies changes. The new velocity modeling workflow, implemented in this research, is more reliable and effective than the conventional velocity property modeling approaches, which resulted in synthetic seismic sections with increased lateral and vertical resolutions and enhanced data from a thin bed. The main features of this workflow are the incorporation of well-log data into geological model building, combining the high-resolution data of horizontal seismic stacking velocity with vertical well logging, and the incorporation of a residual model to improve the seismic stacking velocity. We produced a more coherent section resembling the acquired 3D seismic data by applying the proposed workflow to data from an oil carbonate reservoir in the Fahliyan Formation within the Abadan Plain in SW Iran. It is concluded that the higher frequency synthetic sections from the proposed workflow can assist in resolving the seismic interpretation challenges. By applying the proposed workflow to the current data set, four thin-bed carbonate reservoirs were investigated with corresponding thicknesses of approximately 25, and 17 m at peak frequencies of 60, and 90 Hz, respectively. GRAPHICAL ABSTRACT
{"title":"Seismic forward modeling for investigating and interpreting thin beds in a carbonate reservoir in SW Iran","authors":"M. Mirkamali, A. Javaherian, H. Hassani, M. Saberi, Sajjad Sarallah-Zabihi","doi":"10.1080/08123985.2023.2212697","DOIUrl":"https://doi.org/10.1080/08123985.2023.2212697","url":null,"abstract":"High-frequency contents of reflections are essential in the investigation and interpretation of thin-bed reservoirs. These beds can be even more complicated in carbonate rocks, as pore geometries influence final seismic responses. To address these complexities, we propose a seismic forward modeling workflow to investigate several thin-bed reservoirs in a carbonate oilfield with variable pore geometries. The new workflow enhances the existing forward models for the investigation of thin beds by integrating seismic petrophysics, geological model building, and 2D finite-difference elastic modeling. We used seismic petrophysics to ensure the consistency between petrophysical well logs and seismic data using rock physics modeling. Then, we introduced a new high-resolution workflow for velocity modeling to build a reliable geological model. Finally, the 2D finite-difference elastic modeling is employed to generate synthetic traces based on our geological model to obtain seismic responses for the existing thin-bed reservoirs. The forward models used in this study are a powerful tool for investigating thin layers because they enable high-resolution investigation of the given geological model in distinguishing lateral and vertical lithofacies changes. The new velocity modeling workflow, implemented in this research, is more reliable and effective than the conventional velocity property modeling approaches, which resulted in synthetic seismic sections with increased lateral and vertical resolutions and enhanced data from a thin bed. The main features of this workflow are the incorporation of well-log data into geological model building, combining the high-resolution data of horizontal seismic stacking velocity with vertical well logging, and the incorporation of a residual model to improve the seismic stacking velocity. We produced a more coherent section resembling the acquired 3D seismic data by applying the proposed workflow to data from an oil carbonate reservoir in the Fahliyan Formation within the Abadan Plain in SW Iran. It is concluded that the higher frequency synthetic sections from the proposed workflow can assist in resolving the seismic interpretation challenges. By applying the proposed workflow to the current data set, four thin-bed carbonate reservoirs were investigated with corresponding thicknesses of approximately 25, and 17 m at peak frequencies of 60, and 90 Hz, respectively. GRAPHICAL ABSTRACT","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"601 - 624"},"PeriodicalIF":0.9,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47881070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-14DOI: 10.1080/08123985.2023.2201427
S. Banaszczyk, P. Piña-Varas, M. Dentith, D. Annetts
{"title":"Multiscale studies of electrical conductivity variations, Yerrida Basin, Capricorn Orogen, Western Australia: implications for geological mapping in sedimentary basins","authors":"S. Banaszczyk, P. Piña-Varas, M. Dentith, D. Annetts","doi":"10.1080/08123985.2023.2201427","DOIUrl":"https://doi.org/10.1080/08123985.2023.2201427","url":null,"abstract":"","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45745411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-09DOI: 10.1080/08123985.2023.2210158
S. Diallo, Mohamed Moustapha Ndam Njikam, Mbida Yem, Joseph Quentin Yene Atangana, A. Ribodetti, Abdou Raouf
This study combines the processing and interpretation of magnetic data with geological fieldwork. The purpose is to establish the geological map and rutile mineralization targets map of Minta area (Haute-Sanaga, Cameroon). To this, a strategic geological field survey was first conducted. It highlighted some geological structures, especially magnetite quartzites, which is considered as the potential sources of primary rutile mineralization. Several methods were applied to the magnetic data, including upward continuation (UC), vertical derivative (DZ), analytical signal (AS) and horizontal gradient magnitude (HGM). The regional-residual separation method based on the UC was used to develop the residual map which was very helpful to understand the distribution of magnetic anomalies related to rutile mineralization in this area. The structural model of the study area was established by combining the analysis of the AS and HGM maxima with the analysis of the topographic model. Since magnetic relief variation characterizes the lithological information changes according to the filtered map considered, a set of categorization processes based on the anomaly signals was applied to each of filtered maps according to the geological information sought. It is based on the interpretation of structural models, combined with previous works and the spatial distribution of geological data collected. This process produced a set of partial lithological models, which were then combined with the interpreted structural model to produce the geological map of the study area. This map also shows the spatial distribution of the various targets of potential rutile mineralization interpreted on the DZ model as rectilinear anomalies, with a signal range of 0.78–0.88 nT/m.
{"title":"Integration of magnetic and geological field data into geological mapping and rutile mineralization targets in the Minta locality (Haute-Sanaga, Cameroon)","authors":"S. Diallo, Mohamed Moustapha Ndam Njikam, Mbida Yem, Joseph Quentin Yene Atangana, A. Ribodetti, Abdou Raouf","doi":"10.1080/08123985.2023.2210158","DOIUrl":"https://doi.org/10.1080/08123985.2023.2210158","url":null,"abstract":"This study combines the processing and interpretation of magnetic data with geological fieldwork. The purpose is to establish the geological map and rutile mineralization targets map of Minta area (Haute-Sanaga, Cameroon). To this, a strategic geological field survey was first conducted. It highlighted some geological structures, especially magnetite quartzites, which is considered as the potential sources of primary rutile mineralization. Several methods were applied to the magnetic data, including upward continuation (UC), vertical derivative (DZ), analytical signal (AS) and horizontal gradient magnitude (HGM). The regional-residual separation method based on the UC was used to develop the residual map which was very helpful to understand the distribution of magnetic anomalies related to rutile mineralization in this area. The structural model of the study area was established by combining the analysis of the AS and HGM maxima with the analysis of the topographic model. Since magnetic relief variation characterizes the lithological information changes according to the filtered map considered, a set of categorization processes based on the anomaly signals was applied to each of filtered maps according to the geological information sought. It is based on the interpretation of structural models, combined with previous works and the spatial distribution of geological data collected. This process produced a set of partial lithological models, which were then combined with the interpreted structural model to produce the geological map of the study area. This map also shows the spatial distribution of the various targets of potential rutile mineralization interpreted on the DZ model as rectilinear anomalies, with a signal range of 0.78–0.88 nT/m.","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"100 4","pages":"670 - 684"},"PeriodicalIF":0.9,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41294463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-07DOI: 10.1080/08123985.2023.2192864
Atef M Abu Donia, R. A. Y. El-Qassas, Ali M. M. Mohamed
Airborne spectral gamma-ray survey data were processed using Th-normalization technique for oil and gas exploration in the Qaret El-Soda area, Western Desert of Egypt. This technique was applied to suppress the effects of surface lithology, which are the main factors influencing the variation of radioelement content in rocks. Normalization of K and U by thorium yielded residual potassium and residual uranium estimates. Possible occurrences of new hydrocarbon microseepages were determined by mapping low values of residual potassium and high values of residual uranium relative to potassium, which are indicated as DRAD values, which were obtained by subtracting residual potassium from residual uranium values (eUresid – Kresid). Lower residual values of K, which were associated with higher DRAD anomaly values, highlight areas of prospective hydrocarbon accumulations. The obtained results from quantitative analysis and interpretation of aeromagnetic data show sufficiently thick sediments, probably suitable for the accumulation of hydrocarbons. This means that the study area may possess a potential for hydrocarbon exploration if supported by other detailed geophysical and geochemical exploration techniques.
利用Th归一化技术对埃及西部沙漠Qaret El Soda地区的航空光谱伽马射线测量数据进行了处理，用于石油和天然气勘探。该技术用于抑制地表岩性的影响，而地表岩性是影响岩石中放射性元素含量变化的主要因素。通过钍对K和U进行归一化，得出了残余钾和残余铀的估计值。通过绘制相对于钾的低残留钾值和高残留铀值来确定新碳氢化合物微渗漏的可能发生，这些值表示为DRAD值，通过从残留铀值中减去残留钾来获得（eUresid–Kresid）。较低的K残差值与较高的DRAD异常值相关，突出了潜在的油气聚集区域。航磁数据的定量分析和解释结果表明，沉积物足够厚，可能适合碳氢化合物的积累。这意味着，如果得到其他详细的地球物理和地球化学勘探技术的支持，研究区域可能具有油气勘探的潜力。
{"title":"Detection of potential hydrocarbon accumulations at Qaret El-Soda area, Western Desert, Egypt, based on airborne geophysical survey data","authors":"Atef M Abu Donia, R. A. Y. El-Qassas, Ali M. M. Mohamed","doi":"10.1080/08123985.2023.2192864","DOIUrl":"https://doi.org/10.1080/08123985.2023.2192864","url":null,"abstract":"Airborne spectral gamma-ray survey data were processed using Th-normalization technique for oil and gas exploration in the Qaret El-Soda area, Western Desert of Egypt. This technique was applied to suppress the effects of surface lithology, which are the main factors influencing the variation of radioelement content in rocks. Normalization of K and U by thorium yielded residual potassium and residual uranium estimates. Possible occurrences of new hydrocarbon microseepages were determined by mapping low values of residual potassium and high values of residual uranium relative to potassium, which are indicated as DRAD values, which were obtained by subtracting residual potassium from residual uranium values (eUresid – Kresid). Lower residual values of K, which were associated with higher DRAD anomaly values, highlight areas of prospective hydrocarbon accumulations. The obtained results from quantitative analysis and interpretation of aeromagnetic data show sufficiently thick sediments, probably suitable for the accumulation of hydrocarbons. This means that the study area may possess a potential for hydrocarbon exploration if supported by other detailed geophysical and geochemical exploration techniques.","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"571 - 588"},"PeriodicalIF":0.9,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44673152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-07DOI: 10.1080/08123985.2023.2203856
L. De Giorgi, D. F. Barbolla, F. Comisi, C. Torre, G. Leucci
{"title":"Study the conservation degree in wood structures using TDR and GPR techniques","authors":"L. De Giorgi, D. F. Barbolla, F. Comisi, C. Torre, G. Leucci","doi":"10.1080/08123985.2023.2203856","DOIUrl":"https://doi.org/10.1080/08123985.2023.2203856","url":null,"abstract":"","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41908645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-21DOI: 10.1080/08123985.2022.2158807
M. Yi, Soocheol Jeong, A. Johmori, Y. Sasaki
While most airborne time-domain electromagnetic (ATEM) surveys are carried out using moving-source systems, semi-airborne systems that use a ground-based source, such as GREATEM, have gained popularity in recent years because they allow for more in-depth exploration than moving-source systems. We presented a three-dimensional inversion method for interpreting transient data collected in semi-airborne surveys. Our method is based on a Gauss–Newton minimization approach. The forward problem is solved in the frequency domain using a secondary-field finite-difference technique, and the resulting solution and sensitivity are Fourier-transformed to the time domain using a digital filter. The sensitivities are evaluated by the adjoint-equation method, except for those of a surface region immediately below the source, which are derived by forward modeling the response of a perturbed model based on finite differences. We tested our inversion method on synthetic and real data. The synthetic tests show that the resolution capability of the semi-airborne surveys is dependent on the location of the ground source, which suggests that it is desirable to employ multiple source locations and perform joint inversion of all data sets to ensure the reliability of semi-airborne surveys. Finally, the real data example demonstrates that the recovered conductive zone is consistent with the known distribution of the mineralized zone.
{"title":"Three-dimensional inversion of airborne time-domain electromagnetic data for ground sources","authors":"M. Yi, Soocheol Jeong, A. Johmori, Y. Sasaki","doi":"10.1080/08123985.2022.2158807","DOIUrl":"https://doi.org/10.1080/08123985.2022.2158807","url":null,"abstract":"While most airborne time-domain electromagnetic (ATEM) surveys are carried out using moving-source systems, semi-airborne systems that use a ground-based source, such as GREATEM, have gained popularity in recent years because they allow for more in-depth exploration than moving-source systems. We presented a three-dimensional inversion method for interpreting transient data collected in semi-airborne surveys. Our method is based on a Gauss–Newton minimization approach. The forward problem is solved in the frequency domain using a secondary-field finite-difference technique, and the resulting solution and sensitivity are Fourier-transformed to the time domain using a digital filter. The sensitivities are evaluated by the adjoint-equation method, except for those of a surface region immediately below the source, which are derived by forward modeling the response of a perturbed model based on finite differences. We tested our inversion method on synthetic and real data. The synthetic tests show that the resolution capability of the semi-airborne surveys is dependent on the location of the ground source, which suggests that it is desirable to employ multiple source locations and perform joint inversion of all data sets to ensure the reliability of semi-airborne surveys. Finally, the real data example demonstrates that the recovered conductive zone is consistent with the known distribution of the mineralized zone.","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"353 - 361"},"PeriodicalIF":0.9,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42011200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/08123985.2022.2152319
Richard Perez-Roa, Mariana Rodríguez, Ilich Garcia
The Temblador Field is located on the southern flank of the Eastern Venezuela Basin. The Oficina Formation, present in the field, represents one of the most important producing Formations in the country. In this project, a detailed characterisation and delimitation of the sands of the Jobo and Morichal Members of the Oficina Formation. The work was outlined in three stages. The first stage consisted of studying the elastic properties of the reservoirs through unconsolidated rock physics modelling through the elaboration of the “Rock Physics Template” (RPT). Likewise, during this phase, different crossed graphs were prepared that allowed lithological discrimination. In the second stage, cubes of elastic properties such as P-wave impedance, S-wave impedance, Mhu-Rho (μρ) and Lambda-Rho (λρ) were obtained through the inversion of the Extended Elastic Impedance. Finally, the third stage consists of the classification of the lithofacies, of the cubes resulting from the inversion, through a Bayesian classification. These results allowed the construction of sand probability maps that allow delimiting the best quality sands within the Jobo and Morichal Members. In this way, the present work provides an additional tool when carrying out reservoir exploration studies, reducing uncertainty when locating a new prospect.
{"title":"Combination of extended elastic impedance and rock physics templates for reservoir characterisation in Temblador field, Eastern Venezuela basin","authors":"Richard Perez-Roa, Mariana Rodríguez, Ilich Garcia","doi":"10.1080/08123985.2022.2152319","DOIUrl":"https://doi.org/10.1080/08123985.2022.2152319","url":null,"abstract":"The Temblador Field is located on the southern flank of the Eastern Venezuela Basin. The Oficina Formation, present in the field, represents one of the most important producing Formations in the country. In this project, a detailed characterisation and delimitation of the sands of the Jobo and Morichal Members of the Oficina Formation. The work was outlined in three stages. The first stage consisted of studying the elastic properties of the reservoirs through unconsolidated rock physics modelling through the elaboration of the “Rock Physics Template” (RPT). Likewise, during this phase, different crossed graphs were prepared that allowed lithological discrimination. In the second stage, cubes of elastic properties such as P-wave impedance, S-wave impedance, Mhu-Rho (μρ) and Lambda-Rho (λρ) were obtained through the inversion of the Extended Elastic Impedance. Finally, the third stage consists of the classification of the lithofacies, of the cubes resulting from the inversion, through a Bayesian classification. These results allowed the construction of sand probability maps that allow delimiting the best quality sands within the Jobo and Morichal Members. In this way, the present work provides an additional tool when carrying out reservoir exploration studies, reducing uncertainty when locating a new prospect.","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"395 - 406"},"PeriodicalIF":0.9,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41365658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-02DOI: 10.1080/08123985.2023.2184255
G. Cooper
Automatic gain control (AGC) filters are commonly applied to potential field data to produce images where both large and small amplitude features become prominent. These filters are usually based on ratios of the derivatives (or Hilbert transforms) of the data and are sensitive to noise as a result. By exploiting the fact that the data has an amplitude and phase component it is possible to produce an edge-enhanced dataset with minimal noise issues. The filters are demonstrated on synthetic data and on datasets from South Africa.
{"title":"Amplitude-balanced edge detection filters for potential field data","authors":"G. Cooper","doi":"10.1080/08123985.2023.2184255","DOIUrl":"https://doi.org/10.1080/08123985.2023.2184255","url":null,"abstract":"Automatic gain control (AGC) filters are commonly applied to potential field data to produce images where both large and small amplitude features become prominent. These filters are usually based on ratios of the derivatives (or Hilbert transforms) of the data and are sensitive to noise as a result. By exploiting the fact that the data has an amplitude and phase component it is possible to produce an edge-enhanced dataset with minimal noise issues. The filters are demonstrated on synthetic data and on datasets from South Africa.","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"544 - 552"},"PeriodicalIF":0.9,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49110816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1080/08123985.2023.2177530
Patitapaban Palo, A. Routray
The interpretation of fault is essential for the oil and gas industries. This paper proposes an optimized patch-point-based approach for interpreting faults in a seismic data set using a convolutional neural network (CNN). We extract small patches of data for training and identify the fault patches. Next, we separately train seismic data points that are previously labeled as fault or non-fault. The strategy is to apply patch classification followed by analyzing fault patchs’ points to get the fault's location. We consider a mixture of synthetic and real data for training and as well as for testing. This method has used only the seismic amplitude values and has not considered any seismic attribute. We do normalization and quantization of seismic data to act as input to the CNN network, and the results show good accuracy when applied to synthetic and real data. GRAPHICAL ABSTRACT
{"title":"An optimized patch-point based approach for seismic fault interpretation using CNN","authors":"Patitapaban Palo, A. Routray","doi":"10.1080/08123985.2023.2177530","DOIUrl":"https://doi.org/10.1080/08123985.2023.2177530","url":null,"abstract":"The interpretation of fault is essential for the oil and gas industries. This paper proposes an optimized patch-point-based approach for interpreting faults in a seismic data set using a convolutional neural network (CNN). We extract small patches of data for training and identify the fault patches. Next, we separately train seismic data points that are previously labeled as fault or non-fault. The strategy is to apply patch classification followed by analyzing fault patchs’ points to get the fault's location. We consider a mixture of synthetic and real data for training and as well as for testing. This method has used only the seismic amplitude values and has not considered any seismic attribute. We do normalization and quantization of seismic data to act as input to the CNN network, and the results show good accuracy when applied to synthetic and real data. GRAPHICAL ABSTRACT","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":"54 1","pages":"509 - 525"},"PeriodicalIF":0.9,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44935000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-21DOI: 10.1080/08123985.2023.2190016
C. Bottari, P. Capizzi, R. Martorana, R. Civico, A. Canzoneri
{"title":"GPR investigations at San Nicolò Church: a case-study from the 1669 eruption in the old settlement of Misterbianco (Etna, Sicily)","authors":"C. Bottari, P. Capizzi, R. Martorana, R. Civico, A. Canzoneri","doi":"10.1080/08123985.2023.2190016","DOIUrl":"https://doi.org/10.1080/08123985.2023.2190016","url":null,"abstract":"","PeriodicalId":50460,"journal":{"name":"Exploration Geophysics","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44493406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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