Pub Date : 2016-05-24DOI: 10.3997/2352-8265.20140209
Akihiro Mizushima, H. Mikada, J. Takekawa
Silica scaling remains to be a major restriction for geothermal heat extraction. Our goal is to construct the model reproducing the real silica scaling. To meet this goal, we develop the multi-scale modeling of silica scale growth and compare the simulation result of the amount and the distribution of silica deposition and the data from a laboratory or a field experiment to verify our model. In meso-scale model, the adhesion of the colloidal silica is analyzed using Lagrangian method, while, in the macro-scale model, lattice Boltzmann (LB) simulation is performed using the scale growth rate obtained at the meso-scale model. From our simulation result, the real phenomenon is reproduced quantitatively and quantitatively, which has not been reproduced in the reaction kinetics. It is, therefore, necessary to emphasize the adhesion of the colloidal silica should be taken into account for reproducing silica scaling.
{"title":"The role of physical and chemical processes of silica scale growth in geothermal wells","authors":"Akihiro Mizushima, H. Mikada, J. Takekawa","doi":"10.3997/2352-8265.20140209","DOIUrl":"https://doi.org/10.3997/2352-8265.20140209","url":null,"abstract":"Silica scaling remains to be a major restriction for geothermal heat extraction. Our goal is to construct the model reproducing the real silica scaling. To meet this goal, we develop the multi-scale modeling of silica scale growth and compare the simulation result of the amount and the distribution of silica deposition and the data from a laboratory or a field experiment to verify our model. In meso-scale model, the adhesion of the colloidal silica is analyzed using Lagrangian method, while, in the macro-scale model, lattice Boltzmann (LB) simulation is performed using the scale growth rate obtained at the meso-scale model. From our simulation result, the real phenomenon is reproduced quantitatively and quantitatively, which has not been reproduced in the reaction kinetics. It is, therefore, necessary to emphasize the adhesion of the colloidal silica should be taken into account for reproducing silica scaling.","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"14 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91108682","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}
M. Tsutsumi, Kaoru Sato, Toru Sato, Takuji Nakamura, K. Nishimura, Y. Tomikawa, M. Kohma
We investigated characteristics of mesosphere echoes over Syowa Station (69S) in the Antarctic, which were detected by the Program of the Antarctic Syowa Mesosphere, Stratosphere and Troposphere/Incoherent Scatter (PANSY) radar (47 MHz) and Medium Frequency (MF) radar (2.4 MHz). Winter echoes from the PANSY radar and low altitude MF echoes below approximately 70−75 km mostly coexisted, appearing during the daytime as well as for a few hours post sunset. Summer echoes in the lower height region were absent in both radar observations, suggesting a close relationship in the generation mechanisms of these two radar echoes. High correlation between local K-index and the occurrence of winter echoes suggested that electron density enhancement due to ionized particle precipitation was one of the triggers of echo generation. Angles of arrival of the MF echoes were more isotropic in winter. Because gravity wave activity is much higher in winter over Syowa, higher turbulence energy caused by gravity wave breaking may also be responsible for the generation of the winter echoes and their isotropic behavior. The horizontal wind velocities of the two systems were further compared and agreed well throughout the height region of 60−90 km. (Citation: Tsutsumi, M., K. Sato, T. Sato, M. Kohma, T. Nakamura, K. Nishimura, and Y. Tomikawa, 2017: Characteristics of mesosphere echoes over Antarctica obtained using PANSY and MF radars. SOLA, 13A, 19−23, doi:10.2151/sola.13A-004.)
利用南极Syowa平流层/对流层/非相干散射(PANSY)雷达(47 MHz)和中频(MF)雷达(2.4 MHz)探测的南极Syowa站(69S)上空的中间层回波特征进行了研究。来自PANSY雷达的冬季回波和大约70 ~ 75 km以下的低空中频回波大部分共存，出现在白天以及日落后的几个小时。两次雷达观测均未出现低海拔地区的夏季回波，表明两次雷达回波的产生机制密切相关。局地k指数与冬季回波的高度相关表明，电离粒子沉降导致的电子密度增强是冬季回波产生的触发因素之一。冬季中频回波的到达角呈各向同性。由于冬季Syowa上空的重力波活动要高得多，因此重力波破碎引起的高湍流能量也可能是冬季回波及其各向同性行为的产生原因。进一步比较了两种系统在60 ~ 90 km高度范围内的水平风速，结果吻合较好。(来源:Tsutsumi, M.， K. Sato, T. Sato, M. Kohma, T. Nakamura, K. Nishimura和Y. Tomikawa, 2017:使用PANSY和MF雷达获得的南极上空中间层回波特征。太阳能，2013,19−23,doi:10.2151/ solar .13A-004。
{"title":"Characteristics of mesosphere echoes over Antarctica obtained using PANSY and MF radars","authors":"M. Tsutsumi, Kaoru Sato, Toru Sato, Takuji Nakamura, K. Nishimura, Y. Tomikawa, M. Kohma","doi":"10.2151/SOLA.13A-004","DOIUrl":"https://doi.org/10.2151/SOLA.13A-004","url":null,"abstract":"We investigated characteristics of mesosphere echoes over Syowa Station (69S) in the Antarctic, which were detected by the Program of the Antarctic Syowa Mesosphere, Stratosphere and Troposphere/Incoherent Scatter (PANSY) radar (47 MHz) and Medium Frequency (MF) radar (2.4 MHz). Winter echoes from the PANSY radar and low altitude MF echoes below approximately 70−75 km mostly coexisted, appearing during the daytime as well as for a few hours post sunset. Summer echoes in the lower height region were absent in both radar observations, suggesting a close relationship in the generation mechanisms of these two radar echoes. High correlation between local K-index and the occurrence of winter echoes suggested that electron density enhancement due to ionized particle precipitation was one of the triggers of echo generation. Angles of arrival of the MF echoes were more isotropic in winter. Because gravity wave activity is much higher in winter over Syowa, higher turbulence energy caused by gravity wave breaking may also be responsible for the generation of the winter echoes and their isotropic behavior. The horizontal wind velocities of the two systems were further compared and agreed well throughout the height region of 60−90 km. (Citation: Tsutsumi, M., K. Sato, T. Sato, M. Kohma, T. Nakamura, K. Nishimura, and Y. Tomikawa, 2017: Characteristics of mesosphere echoes over Antarctica obtained using PANSY and MF radars. SOLA, 13A, 19−23, doi:10.2151/sola.13A-004.)","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88857267","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 : 2016-03-10DOI: 10.14863/GEOSOCABST.2015.0_066
K. Kawamura, G. Moore, M. Asada, Shoichi Shiozaki, A. Nakajima
{"title":"Submarine landslides and the trigger on the Kumano Basin","authors":"K. Kawamura, G. Moore, M. Asada, Shoichi Shiozaki, A. Nakajima","doi":"10.14863/GEOSOCABST.2015.0_066","DOIUrl":"https://doi.org/10.14863/GEOSOCABST.2015.0_066","url":null,"abstract":"","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"60 1","pages":"066"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85085932","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}
Mokrane Mustapha, W. Hugo, D. Ingrid, Harrison Sandra
Today’s research is international, transdisciplinary, and data-enabled, which requires scrupulous data stewardship, full and open access to data, and efficient collaboration and coordination. New expectations on researchers based on policies from governments and funders to share data fully, openly, and in a timely manner present significant challenges but are also opportunities to improve the quality and efficiency of research and its accountability to society. Researchers should be able to archive and disseminate data as required by many institutions or funders, and civil society to scrutinize datasets underlying public policies. Thus, the trustworthiness of data services must be verifiable. In addition, the need to integrate large and complex datasets across disciplines and domains with variable levels of maturity calls for greater coordination to achieve sufficient interoperability and sustainability. The World Data System (WDS) of the International Council for Science (ICSU) promotes long-term stewardship of, and universal and equitable access to, quality-assured scientific data and services across a range of disciplines in the natural and social sciences. WDS aims at coordinating and supporting trusted scientific data services for the provision, use, and preservation of relevant datasets to facilitate scientific research, in particular under the ICSU umbrella, while strengthening their links with the research community. WDS certifies its Members, holders and providers of data or data products, using internationally recognized standards. Certification of scientific data services is essential to ensure trustworthiness of the global research data infrastructure. It contributes to building a searchable, distributed, interoperable and sustainable research data infrastructure. Several certification standards have been developed over the last decade (NESTORseal, DIN standard 31644, TRAC and ISO 16363.) In addition, the Data Seal of Approval (DSA) and WDS have set up core certification mechanisms for trusted digital repositories in 2009, which are increasingly recognized as de facto standards. While DSA emerged in Europe in the Humanities and Social Sciences, WDS started as an international initiative with historical roots in the Earth and Space Sciences. Their catalogues of requirements and review procedures are based on the same principles of openness and transparency. A unique feature of both DSA and WDS certifications is that it strikes a balance between simplicity, robustness and the effort required to complete. A successful international cross-project collaboration was initiated between WDS and DSA under the umbrella of the Research Data Alliance (RDA), an international initiative started in 2013 to promote data interoperability which provided a useful and neutral forum. A joint working group was established in early 2014 to reconcile and simplify the array of certification options and improve and stimulate core certification for scientific da
{"title":"International collaboration for a trustworthy research data infrastructure","authors":"Mokrane Mustapha, W. Hugo, D. Ingrid, Harrison Sandra","doi":"10.5281/zenodo.50144","DOIUrl":"https://doi.org/10.5281/zenodo.50144","url":null,"abstract":"Today’s research is international, transdisciplinary, and data-enabled, which requires scrupulous data stewardship, full and open access to data, and efficient collaboration and coordination. New expectations on researchers based on policies from governments and funders to share data fully, openly, and in a timely manner present significant challenges but are also opportunities to improve the quality and efficiency of research and its accountability to society. Researchers should be able to archive and disseminate data as required by many institutions or funders, and civil society to scrutinize datasets underlying public policies. Thus, the trustworthiness of data services must be verifiable. In addition, the need to integrate large and complex datasets across disciplines and domains with variable levels of maturity calls for greater coordination to achieve sufficient interoperability and sustainability. The World Data System (WDS) of the International Council for Science (ICSU) promotes long-term stewardship of, and universal and equitable access to, quality-assured scientific data and services across a range of disciplines in the natural and social sciences. WDS aims at coordinating and supporting trusted scientific data services for the provision, use, and preservation of relevant datasets to facilitate scientific research, in particular under the ICSU umbrella, while strengthening their links with the research community. WDS certifies its Members, holders and providers of data or data products, using internationally recognized standards. Certification of scientific data services is essential to ensure trustworthiness of the global research data infrastructure. It contributes to building a searchable, distributed, interoperable and sustainable research data infrastructure. Several certification standards have been developed over the last decade (NESTORseal, DIN standard 31644, TRAC and ISO 16363.) In addition, the Data Seal of Approval (DSA) and WDS have set up core certification mechanisms for trusted digital repositories in 2009, which are increasingly recognized as de facto standards. While DSA emerged in Europe in the Humanities and Social Sciences, WDS started as an international initiative with historical roots in the Earth and Space Sciences. Their catalogues of requirements and review procedures are based on the same principles of openness and transparency. A unique feature of both DSA and WDS certifications is that it strikes a balance between simplicity, robustness and the effort required to complete. A successful international cross-project collaboration was initiated between WDS and DSA under the umbrella of the Research Data Alliance (RDA), an international initiative started in 2013 to promote data interoperability which provided a useful and neutral forum. A joint working group was established in early 2014 to reconcile and simplify the array of certification options and improve and stimulate core certification for scientific da","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"37 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90108814","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}
Kengo Sakai, Kouiti Hasegawa, T. Izumi, H. Matsuyama
Photographic surveying using a small-sized UAV (Unmanned Aerial Vehicle) has recently attracted attention. The SfM (Structure from Motion) method makes it possible to create 3D point clouds and a 3D model from multiple 2D images. Furthermore, an orthomosaic photograph and DSM (Digital Surface Model) can be generated from the 3D model. It has been reported that the precision of the point clouds becomes low when the target is vegetation due to insufficient resolution of images, the vegetation moving in the wind, and shadow areas in the images. This study, therefore, created a DSM of a forest crown using nadir+oblique stereo pair images taken by a small-sized UAV. The study was carried out in the larch forests at the foot of the Yatsugatake Mountains, Yamanashi Prefecture, Japan, in July, 2015. A UAV with a digital camera flew over the study site to acquire crown images in the nadir and oblique directions using an autopilot system. We first generated dense point clouds, from which we then generated orthomosaic photographs and DSMs following three patterns: (1) 70 nadir images taken at an altitude of 100m above the ground; (2) (1) plus 54 nadir images taken at an altitude of 50m above the ground; and (3) (1) plus 54 oblique images taken at an altitude of 50m above the ground. Under Pattern (1), 17.5% of the total area had no point clouds, while Patterns (2) and (3) showed 12.8% and 9.7%, respectively, with no point clouds. We obtained DSMs with a spatial resolution of 2.0∼2.5 cm for all three patterns. Some areas of the DSM of Pattern (1) showed less surface roughness; such areas decreased in Patterns (2) and (3). In conclusion, the present study demonstrates an improvement in the reproducibility of DSMs by adding oblique images in comparison with the use of nadir images alone.
最近，利用小型无人机(UAV)进行摄影测量引起了人们的关注。SfM (Structure from Motion)方法可以从多个2D图像中创建3D点云和3D模型。此外，还可以从三维模型中生成正射影和数字曲面模型。有报道称，当目标为植被时，由于图像分辨率不足、植被在风中移动、图像中存在阴影区域等原因，点云的精度会降低。因此，本研究使用小型无人机拍摄的最低点+倾斜立体对图像创建了森林树冠的DSM。该研究于2015年7月在日本山梨县Yatsugatake山脚下的落叶松森林进行。一架带有数码相机的无人机在研究地点上空飞行，使用自动驾驶系统获取最低点和倾斜方向的冠状图像。我们首先生成密集的点云，然后根据三种模式生成正射影图和dsm:(1)在距地面100米的高度拍摄的70幅最低点图像;(2)(1)加上54张在离地50米高度拍摄的最低点图像;(3)(1)加上54张在离地50米高度拍摄的斜向图像。在模式(1)下，17.5%的面积没有点云，而模式(2)和模式(3)分别为12.8%和9.7%，没有点云。我们获得了所有三种模式的空间分辨率为2.0 ~ 2.5 cm的dsm。图(1)的DSM部分区域表面粗糙度较小;这些区域在模式(2)和(3)中减少。总之，本研究表明，与单独使用最低点图像相比，通过添加倾斜图像，dsm的再现性得到了改善。
{"title":"Generation of DSM of forest crown generated by vertical + oblique stereo pair images taken by small-sized UAV","authors":"Kengo Sakai, Kouiti Hasegawa, T. Izumi, H. Matsuyama","doi":"10.11440/RSSJ.36.388","DOIUrl":"https://doi.org/10.11440/RSSJ.36.388","url":null,"abstract":"Photographic surveying using a small-sized UAV (Unmanned Aerial Vehicle) has recently attracted attention. The SfM (Structure from Motion) method makes it possible to create 3D point clouds and a 3D model from multiple 2D images. Furthermore, an orthomosaic photograph and DSM (Digital Surface Model) can be generated from the 3D model. It has been reported that the precision of the point clouds becomes low when the target is vegetation due to insufficient resolution of images, the vegetation moving in the wind, and shadow areas in the images. This study, therefore, created a DSM of a forest crown using nadir+oblique stereo pair images taken by a small-sized UAV. The study was carried out in the larch forests at the foot of the Yatsugatake Mountains, Yamanashi Prefecture, Japan, in July, 2015. A UAV with a digital camera flew over the study site to acquire crown images in the nadir and oblique directions using an autopilot system. We first generated dense point clouds, from which we then generated orthomosaic photographs and DSMs following three patterns: (1) 70 nadir images taken at an altitude of 100m above the ground; (2) (1) plus 54 nadir images taken at an altitude of 50m above the ground; and (3) (1) plus 54 oblique images taken at an altitude of 50m above the ground. Under Pattern (1), 17.5% of the total area had no point clouds, while Patterns (2) and (3) showed 12.8% and 9.7%, respectively, with no point clouds. We obtained DSMs with a spatial resolution of 2.0∼2.5 cm for all three patterns. Some areas of the DSM of Pattern (1) showed less surface roughness; such areas decreased in Patterns (2) and (3). In conclusion, the present study demonstrates an improvement in the reproducibility of DSMs by adding oblique images in comparison with the use of nadir images alone.","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81976384","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}
Y. Katoh, H. Kojima, K. Asamura, Y. Kasaba, F. Tsuchiya, Y. Kasahara, T. Imachi, H. Misawa, A. Kumamoto, S. Yagitani, K. Ishisaka, T. Kimura, Y. Miyoshi, M. Shoji, M. Kitahara, O. Santolík, J. Wahlund
We present science objectives of the Software–type Wave–Particle Interaction Analyzer (S–WPIA), which will be realized as a software function of the LowFrequency receiver (LF) running on the DPU of RPWI (Radio and Plasma Waves Investigation) for the ESA JUICE mission. S–WPIA conducts onboard computations of physical quantities indicating the energy exchange between plasma waves and energetic ions. Onboard inter–instruments communications are necessary to realize S–WPIA, which will be implemented by efforts of RPWI, PEP (Particle Environment Package) and J–MAG (JUICE Magnetometer). By providing the direct evidence of ion energization processes by plasma waves around Jovian satellites, S–WPIA increases the scientific output of JUICE while keeping its impact on the telemetry data size to a minimum; S–WPIA outputs 0.2 kB at the smallest from 440 kB waveform and particle raw data. ∗Department of Geophysics, Graduate School of Science, Tohoku University, Sendai, Miyagi, Japan † Research Institute for Sustainable Humanosphere, Kyoto University, Uji, Kyoto, Japan ‡ Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Kanagawa, Japan § Kanazawa University, Kanazawa, Ishikawa, Japan ¶Toyama Prefectural University, Toyama, Japan ‖RIKEN, Wako, Saitama, Japan ∗∗ Institute for Space–Earth Environmental Research, Nagoya University, Nagoya, Aichi, Japan ††Department of Space Physics, Institute of Atmospheric Physics, The Czech Academy of Sciences, Prague, Czech Republic ‡‡Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic §§Swedish Institute of Space Physics, Uppsala, Sweden ¶¶Swedish Institute of Space Physics, Kiruna, Sweden ∗∗∗Finnish Meteorological Institute, Helsinki, Finland
{"title":"Software-type Wave-Particle Interaction Analyzer (SWPIA) by RPWI for JUICE: Science objectives and implementation","authors":"Y. Katoh, H. Kojima, K. Asamura, Y. Kasaba, F. Tsuchiya, Y. Kasahara, T. Imachi, H. Misawa, A. Kumamoto, S. Yagitani, K. Ishisaka, T. Kimura, Y. Miyoshi, M. Shoji, M. Kitahara, O. Santolík, J. Wahlund","doi":"10.1553/pre8s495","DOIUrl":"https://doi.org/10.1553/pre8s495","url":null,"abstract":"We present science objectives of the Software–type Wave–Particle Interaction Analyzer (S–WPIA), which will be realized as a software function of the LowFrequency receiver (LF) running on the DPU of RPWI (Radio and Plasma Waves Investigation) for the ESA JUICE mission. S–WPIA conducts onboard computations of physical quantities indicating the energy exchange between plasma waves and energetic ions. Onboard inter–instruments communications are necessary to realize S–WPIA, which will be implemented by efforts of RPWI, PEP (Particle Environment Package) and J–MAG (JUICE Magnetometer). By providing the direct evidence of ion energization processes by plasma waves around Jovian satellites, S–WPIA increases the scientific output of JUICE while keeping its impact on the telemetry data size to a minimum; S–WPIA outputs 0.2 kB at the smallest from 440 kB waveform and particle raw data. ∗Department of Geophysics, Graduate School of Science, Tohoku University, Sendai, Miyagi, Japan † Research Institute for Sustainable Humanosphere, Kyoto University, Uji, Kyoto, Japan ‡ Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Kanagawa, Japan § Kanazawa University, Kanazawa, Ishikawa, Japan ¶Toyama Prefectural University, Toyama, Japan ‖RIKEN, Wako, Saitama, Japan ∗∗ Institute for Space–Earth Environmental Research, Nagoya University, Nagoya, Aichi, Japan ††Department of Space Physics, Institute of Atmospheric Physics, The Czech Academy of Sciences, Prague, Czech Republic ‡‡Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic §§Swedish Institute of Space Physics, Uppsala, Sweden ¶¶Swedish Institute of Space Physics, Kiruna, Sweden ∗∗∗Finnish Meteorological Institute, Helsinki, Finland","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86065201","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 : 2016-03-10DOI: 10.3997/2352-8265.20140198
E. J. Hondori, H. Mikada, E. Asakawa, S. Mizohata
We believe Full waveform inversion (FWI) is capable to be used as a part of seismic data processing routines. In order to check the possibility of using FWI in conventional data processing sequences, we evaluated the effect of different initial models on inversion results. We developed new initial models for full waveform inversion using horizon-guided well interpolation and compared it against initial velocities converted from stacking velocities,with and without dip move-out (DMO) correction. Acoustic full waveform inversion results from Marmousi2 model showed that when the subsurface structure has strong dips, interval velocities which are converted from stacking velocity without dip corrections fail to initialize FWI properly. However, applying dip move-out correction on the seismic data will relax the dip complexities in the velocity analysis stage and a good initial model for FWI could be developed. Alternatively, horizon-guided well interpolation uses velocities derived from well logs and makes an interpolated velocity model along the picked horizon by a constrained post-stack inversion. This makes an initial velocity model for full waveform inversion which ensures the convergence to the correct solution.
{"title":"Developing Initial Model for Seismic Full Waveform Inversion Using Conventional Data Processing Tools","authors":"E. J. Hondori, H. Mikada, E. Asakawa, S. Mizohata","doi":"10.3997/2352-8265.20140198","DOIUrl":"https://doi.org/10.3997/2352-8265.20140198","url":null,"abstract":"We believe Full waveform inversion (FWI) is capable to be used as a part of seismic data processing routines. In order to check the possibility of using FWI in conventional data processing sequences, we evaluated the effect of different initial models on inversion results. We developed new initial models for full waveform inversion using horizon-guided well interpolation and compared it against initial velocities converted from stacking velocities,with and without dip move-out (DMO) correction. Acoustic full waveform inversion results from Marmousi2 model showed that when the subsurface structure has strong dips, interval velocities which are converted from stacking velocity without dip corrections fail to initialize FWI properly. However, applying dip move-out correction on the seismic data will relax the dip complexities in the velocity analysis stage and a good initial model for FWI could be developed. Alternatively, horizon-guided well interpolation uses velocities derived from well logs and makes an interpolated velocity model along the picked horizon by a constrained post-stack inversion. This makes an initial velocity model for full waveform inversion which ensures the convergence to the correct solution.","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"64 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80186397","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}
NASA’s OCO-2 spacecraft has returned observations of atmospheric carbon dioxide (CO2) since September 2014. These data are being used to study the processes emitting CO2 into the atmosphere and those absorbing it at the surface.
{"title":"Measuring Atmospheric Carbon Dioxide with the NASA Orbiting Carbon Observatory-2 (OCO-2)","authors":"D. Crisp","doi":"10.1364/FTS.2018.JT1A.2","DOIUrl":"https://doi.org/10.1364/FTS.2018.JT1A.2","url":null,"abstract":"NASA’s OCO-2 spacecraft has returned observations of atmospheric carbon dioxide (CO2) since September 2014. These data are being used to study the processes emitting CO2 into the atmosphere and those absorbing it at the surface.","PeriodicalId":14836,"journal":{"name":"Japan Geoscience Union","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88049756","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}
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