Day 2 Tue, August 17, 2021最新文献

{"title":"Case Study: The Impact of VR & AR Simulation Project to Decrease Human Exposure in Critical Environments","authors":"Juan Ribeiro Reis, Thiago Sousa de Oliveira, Wesley Oliveira, D. Barboza, Leonildes Soares De Melo, Andre Oberziner, Paulo Andrade da Silva","doi":"10.4043/31143-ms","DOIUrl":"https://doi.org/10.4043/31143-ms","url":null,"abstract":"\u0000 Human exposure is a relevant factor when operating in critical environments and depends on a thorough analysis and consideration towards driving the teams to a safer and more productive environment. Reducing such exposure through digital technologies benefits the whole workforce in their decisions and maneuvers, like simulations, training, and other critical activities that can be executed remotely and prior to the actual activity.\u0000 This paper presents a case study to demonstrate how augmented and virtual reality can be used to create a high fidelity virtual environment emulating the real industrial facility. This approach enriches the Digital Twin with the association of data and the virtual environment. It leverages on display and interaction capabilities of hardware devices, and intelligence and data querying capabilities of industrial software, empowering the workers with enhanced training capabilities and access to information increasing safety and efficiency.\u0000 A real application of this technology is presented in this paper through the case study of the PredictMain4.0 project of Repsol Sinopec Brazil (RSB), which aimed at the integration of digital technologies, including augmented reality (AR) and virtual reality (VR). The PredictMain4.0 project was executed using data and data models of PETROBRAS’ P-50, a FPSO (Floating Production Storage and Offloading) operating in Brazil, and illustrates how different AR/VR applications can be developed and used in combination with engineering, operation, and maintenance databases. This includes 3D models, digitalized critical procedures, and the ability to integrate field teams into a single virtual environment, allowing real interaction in a digital setting that is linked to the real world. Considering the digitalized procedures, this paper aims to establish how virtual simulation and training can make teams more confident and prepared to execute the same physical asset procedures.\u0000 After consulting with stakeholders from many different teams, the PredictMain4.0 project team selected three critical operating modules in the FPSO (Power Generation, Water Injection, and Gas Compression). For each one, considered which situations were relevant, should they occur. These situations led to developing a training and simulation framework, allowing instructors to create different scenarios and use advanced features such as digital measurement, real-time data collection, and collaborative sessions.\u0000 The case study indicates that the development of such applications can save more than $1 million per year in maintenance costs considering the decrease in downtime and avoiding risks of accident.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74953815","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":"Accelerated Development of Subsurface Safety Valve Technologies","authors":"Edwards Jason","doi":"10.4043/31218-ms","DOIUrl":"https://doi.org/10.4043/31218-ms","url":null,"abstract":"\u0000 Described is a methodology for accelerating the development of innovative and high-risk technologies, specifically, subsurface safety valve technologies. Focus is on methods of mitigating technical and commercial risks that can delay or prevent successful development of new technologies. Example risk assessment and risk mitigation strategies are provided from a recent subsurface safety valve technology development project. Mitigation strategies include fixture level testing, design changes, and deep client collaboration. In the example project, it is estimated that the total development time was reduced by as much as 50% by implementing these strategies. While a subsurface safety valve development is used in this example, it is believed that many strategies are applicable to other domains.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"194 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79770600","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":"Data Centric Verification to Streamline Project Planning and Execution","authors":"Reed Michele","doi":"10.4043/31113-ms","DOIUrl":"https://doi.org/10.4043/31113-ms","url":null,"abstract":"\u0000 There have been numerous calls for O&G companies to rethink the way they carry out capital projects. Various studies have highlighted that opportunities to enhance productivity exist from early development through to construction and handover to operations. Companies that are can realize these opportunities can complete projects safer and faster, reduce costs and quality issues, and improve schedule predictability.\u0000 This paper presents data centric verification as a key enabler for such change, as it focusses on delivery of desired outcomes – the key to successful projects. This paper presents the rapid benefits that can be harvested, if the effort to put data centric verification in place is made. The following aspects are detailed to illustrate the benefits that are achievable:\u0000 The wide variety of checking and confirmation activities on projects that frequently overlap, happen too late or don't focus on the correct aspects can be streamlined through a unified verification approach. Using a data centric approach to the set up and tracking of verification activities can support analytics to enable better planning and early identification of issues. Traceability in the data centric approach will enable quicker identification of root causes and remediations. Handover to operations moves from a document accumulation exercise to a data custody transfer.\u0000 A typical O&G project is executed by a consortium of companies from owner/operators, engineering, procurement and construction companies, various suppliers and equipment manufacturers, etc. Data centric verification, if achieved, can only be through collaboration on a commonly agreed approach.\u0000 \u0000 \u0000 Using data centric verification as an enabler to enhance project productivity from early development through handover.\u0000 \u0000 \u0000 \u0000 This paper presents data centric verification as a key enabler for such change, as it focusses on delivery of desired outcomes – the key to successful projects. This paper presents the rapid benefits that can be harvested, if the effort to put data centric verification in place is made. The following aspects are detailed to illustrate the benefits that are achievable:\u0000 The wide variety of checking and confirmation activities on projects that frequently overlap, happen too late or don't focus on the correct aspects can be streamlined through a unified verification approach. Using a data centric approach to the set up and tracking of verification activities can support analytics to enable better planning and early identification of issues. Traceability in the data centric approach will enable quicker identification of root causes and remediations. Handover to operations moves from a document accumulation exercise to a data custody transfer.\u0000 \u0000 \u0000 \u0000 The paper demonstrates the resulting requirements management and verification data models that can be established to enable the efficiency gains during project execution. Several example implementations of this data centric approach will ","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80128614","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":"MACRO-GOM: Long Term Multi-Resolution Ocean Current Reanalysis Dataset for the Gulf of Mexico","authors":"Neha Groves, A. Srinivasan, L. Ivanov, Jill Storie, Drew Gustafson, R. Ramos","doi":"10.4043/31152-ms","DOIUrl":"https://doi.org/10.4043/31152-ms","url":null,"abstract":"\u0000 The Gulf of Mexico's unique circulation characteristics pose a particular threat to marine operations and play a significant role in driving the criteria used for design and life extension analyses of offshore infrastructure. Estimates from existing reanalysis datasets used by operators in GOM show less than ideal correlation with in situ measurements and have a limited resolution that disallows for the capture of ocean features of interest. In this paper, we introduce a new high-resolution long-term reanalysis dataset, Multi-resolution Advanced Current Reanalysis for the Ocean – Gulf of Mexico (MACRO-GOM), based on a state-of the-science hydrodynamic model configured specifically for ocean current forecasting and hindcasting services for the offshore industry that assimilates extensive non-conventional observational data. The underlying hydrodynamic model used is the Woods Hole Group – Tendral Ocean Prediction System (WHG-TOPS). MACRO-GOM is being developed at the native resolution of the TOPS-GOM domain, i.e. 1/32° (~3 km) hourly grid for the 1994-2019 time period (25 years). A 3-level downscaling methodology is used wherein observation based estimates are first dynamically interpolated using a 1/4° model before being downscaled to the 1/16° Inter-American Seas (IAS) domain, which in turn is used to generate time-consistent boundary conditions for the 1/32° reanalysis. A multiscale data assimilation technique is used to constrain the model at synoptic and longer time scales. For this paper, a shorter, 5-year reanalysis run was conducted for the 2015-2019 time period for verification against assimilated and unassimilated observations, WHG's proprietary frontal analyses, and other reanalyses. Both the frontal analyses and Notice to Lesses (NTL) rig mounted ADCP data was withheld from assimilation for comparison. Offshore operations in the GOM can benefit from an improved reanalysis dataset capable of assimilating existing non-conventional observational datasets. Existing hindcast and reanalysis model datasets are limited in their ability to comprehensively and reliably quantify the 3D circulation and kinematic properties of the main features partly because of limited assimilation of observational data. MACRO-GOM incorporates all the advantages of available HYCOM-based reanalyses and further enhances the resolution, accuracy, and reliability by the assimilation of over three decades of WHG's proprietary datasets and frontal analyses for continuous model correction and ground-truthing. The final 25-year high resolution dataset will provide highly reliable design and operational criteria for new and existing infrastructure in GOM.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83545705","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":"Novel Intelligent Pigging Tool For Deposit Inspection Using Electrical Tomography with High Computational Efficiency Enabled Through Neural Networks","authors":"A. Nissinen, O. Lehtikangas, A. Voutilainen, P. Laakkonen, A. Lehikoinen","doi":"10.4043/31273-ms","DOIUrl":"https://doi.org/10.4043/31273-ms","url":null,"abstract":"\u0000 \u0000 \u0000 Deposition inspection sensor based on electrical tomography has been proposed recently. In this work, a next generation electrical tomography sensor is introduced and a novel mathematical approach for the estimation of the deposit thickness is described. It is essential for the pipeline operators to keep the lines open for smooth flow and high flow efficiency. Deposit thickness, deposit type and location of deposit is required for optimal pipeline cleaning. The usage of chemicals as well as number of cleaning pig runs can be optimized based on the information that intelligent pig is giving.\u0000 \u0000 \u0000 \u0000 In electrical tomography, electrodes are attached on the surface of the sensor and excitations are applied to some electrodes and responses are measured from other electrodes. The electrical properties of the medium are estimated based on these measurements. In pigging applications, the distribution of electrical properties between the PIG surface and metal pipe is estimated. The thickness and type of deposit (wax/scale) can be identified from the estimated electrical properties. In the proposed approach the estimation of the parameters is done by using a novel deep neural network based approach. In practice, number of measurements that are analyzed after each PIG run can be hundreds of thousands. The neural network based approach was chosen in order to achieve reasonable computational efficiency (computation time) in real applications with large amounts of data.\u0000 \u0000 \u0000 \u0000 The introduced sensor is for 12-inch lines and designed to be used when the oil line is filled with water. This sensor was tested in a laboratory test line with artificial deposit samples. After these tests and calibration, the sensor is deployed to be used in real pipe line inspections. The major challenges in pipe line runs include the movement of the sensor during measurements, electrical noise and changing excitations. In the neural network model, the position of the PIG is estimated simultaneously with the electrical properties and the effect of all these aforementioned uncertainties are also modelled. Based on the results conclusions can be drawn on the efficiency and performance using neural networks and the high suitability of electrical tomography for deposit mapping.\u0000 \u0000 \u0000 \u0000 In this study, it is shown that intelligent pig based on the electrical tomography can be used reliable for deposit inspection. Furthermore, the computation approach based on the deep neural network is computationally efficient and it is tolerable for measurement noise and other uncertainties in real measurements.\u0000","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77668062","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":"Research on Robust and Efficient Approach for Extreme Mooring Tension Estimation for FLNG and FOWT","authors":"T. Ando, Wright Christopher Simon, R. Wada, K. Takagi, Masaharu Watanabe, Akio Usami","doi":"10.4043/31063-ms","DOIUrl":"https://doi.org/10.4043/31063-ms","url":null,"abstract":"\u0000 Offshore floating production units such as FPSO, FLNG, etc. are stationed at operation sites for many years without stopping operation. The mooring systems are provided as permanent positioning system for the floaters and are designed based on conditions that normally assume way longer than their actual service life. The offshore industry, nevertheless, has experienced higher than expected failure rates of mooring systems in the past. [1] Therefore, more robust and pertinent design requirements are desired. On the other hand, while operators demand more reliable design procedures, mooring analysis needs to be performed for numerous load cases on actual projects, which require enormous cost and resources for simulation and analysis. This has resulted in the need by the industry for more efficient mooring analysis procedures while maintaining the required safety.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72824393","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":"Diverless Revolution - Initiatives and Preliminary Results in the Replacement of Human Diving in Submarine Inspection and Maintenance Operations","authors":"Romario de Carvalho Nunes, N. M. Felix, Antonio Savergnini Neto, Andre luiz Bevilaqua Santana","doi":"10.4043/30942-ms","DOIUrl":"https://doi.org/10.4043/30942-ms","url":null,"abstract":"\u0000 This article investigates the diverless trend in the global oil industry, demonstrating relevant aspects of this transition that involves replacing human diving in subsea operations with specific tools and equipment. In this sense, the operational, financial and security aspects related to the theme will be explored. Using the descriptive methodology and in light of Petrobras' case studies, the article aims to correlate the technologies developed to enable diverless operations - including changing the scope of the important Petrobras Route 3 Gas Pipeline project - with increasing operational efficiency and reducing the costs involved in operations. The article also contextualizes the benefits obtained by reducing human exposure and improving safety indicators, a current and relevant topic in the oil industry.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73502082","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":"A Data-Centric Omnichannel Digital Platform for Configuring Subsea Field Developments","authors":"R. Morgan, T. Parenteau, Hemant Priyadarshi, Sachin Mathakari, Malo Le-Nel, Nicolas Lefebvre, Joydeep Somabathula, Kévin Le Prin, Patrick Jetter","doi":"10.4043/31150-ms","DOIUrl":"https://doi.org/10.4043/31150-ms","url":null,"abstract":"\u0000 Subsea field development planning can be a complicated undertaking requiring the coordination and collaboration of multiple engineering and commercial disciplines with competing objectives. Thus, finding the optimal development solution can be challenging. To combat this, a data-centric omnichannel digital platform for configuring subsea field developments has been created. The study workflow orchestrated by the digital platform is detailed along with an overview of the data model, functionality, and deliverables. A case study is presented to demonstrate the value delivered using this digital platform.\u0000 The digital platform is inherently collaborative as it orchestrates specialist engineering tools and their workflows around the same data for study teams to configure subsea development solutions. The platform is composed of:\u0000 A web-based graphical user interface that allows discipline and product engineers to collaboratively configure the system, products, planning and costing for an entire subsea field development scenario, leveraging the same base data i.e., a single source of truth. A proprietary data model covering system, product (e.g., hardware or equipment), activity planning and costing breakdowns, and; Microservices that directly attach engineering tools and their workflows to the digital platform to automate product design and analysis.\u0000 A case study is presented to demonstrate the use of the digital platform on a subsea field development prospect and a qualitative comparison with the conventional way of working is made. The case study illustrates the use of a digital hardware configurator (subsea tree system configuration) and the automated planning workflow for an EPCI (Engineering, Procurement, Construction, and Installation) prospect enabled by the digital platform. The results of the case study demonstrate the platform values and benefits the digital platform delivers. The benefits are underpinned by the automated data transfer, the versioning functionality, software logic, and the common base data used by the microservices. The benefits that have been found when compared with the conventional way of working include:\u0000 Faster validation of alternative development scenarios, meaning that more concepts and sensitivities can be investigated in the same length of time; A reduction in the overall lead time and person hours required to configure and optimize a field development solution; Design risk reduction, and; Efficient and consistent transition of data via virtual handovers.\u0000 This paper demonstrates a new approach for subsea field development planning using a data-centric omnichannel digital platform called Subsea Studio™ FD, which is shown to deliver benefits over the conventional document-centric way of working. The digital platform brings multiple engineering disciplines together to configure optimal development solutions, accounting for competing objectives. It initiates the digital thread through the project lifecycle and wil","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85765275","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":"Cash is King - Repurposing Marginal Assets to Reduce Floating LNG CAPEX","authors":"K. Tierling","doi":"10.4043/31053-ms","DOIUrl":"https://doi.org/10.4043/31053-ms","url":null,"abstract":"\u0000 \u0000 \u0000 With renewable energy sources not currently able to move energy around the globe and forming small portions of the total global energy supply, it has fallen upon hydrocarbon sources to form the backbone of global energy movements. Hence, the recent energy demand decline, along with policy, have disproportionately impacted world-wide petroleum and LNG pricing. The impact on Floating LNG has been a heightened demand for capital efficiency, required to achieve final investment decision.\u0000 A business case specific means of reducing FLNG CAPEX, has been repurposing marginal assets. Starting with a breakdown of the cost components of an FLNG facility, this paper will provide examples of the inclusion of preexisting assets into FLNG projects to reduce capital cost. The paper will wrap up with other opportunities for cost savings, to stimulate thought.\u0000 \u0000 \u0000 \u0000 Floating LNG (FLNG) technologies have been deployed to monetize mid-sized offshore gas reservoirs, avoiding constructing a sub-sea gas pipeline to a land-based LNG facility and export jetty. Containing the processing to an oceanic environment also reduces the impact on indigenous peoples as well as terrestrial flora and fauna. FLNG facilities also have the potential of serving multiple offshore fields over the life of the facility, thereby reducing the minimum size field that can be economically monetized.\u0000 Interest in FLNG continues, despite the current slump in energy prices, however these challenging times are refocusing efforts on reducing the capital cost of FLNG. This paper will explore recent capital cost trends in LNG, with a focus on floating LNG, examples of realized opportunities to reduce CAPEX, and further scope for reductions.\u0000 \u0000 \u0000 \u0000 The readers will take-away from this paper a deeper understanding of:\u0000 Recent trends in CAPEX for LNG, and specifically FLNG Where significant opportunities lie for cost reduction Examples of the reuse and repurposing of marginal assets to reduce cost of FLNG facilities Areas to be explored for future capital reduction\u0000 \u0000 \u0000 \u0000 This paper pulls together disparate threads into a coherent whole, providing visualization of the trends and examples of realized opportunities.\u0000","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88735280","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":"Satellite Observations for Better Characterization of Sea Surface Wind Field and Offshore Wind Energy Resource Assessment","authors":"M. Fragoso, L. Montera, R. Husson, Henrick Berger, P. Appelghem, L. Guerlou, Gaetan Fabritius","doi":"10.4043/31316-ms","DOIUrl":"https://doi.org/10.4043/31316-ms","url":null,"abstract":"\u0000 This paper presents a method to generate maps of offshore wind power at turbine hub height from spaceborne Synthetic Aperture Radar (SAR) data. Two techniques based on machine learning are presented. The first can be trained with metocean buoys and the second one, more precise, requires on-site profiling Lidars. If Lidars are not available, SAR surface winds at 10m are improved with machine learning. They are then extrapolated at 40m with a classical power law, and then at higher altitudes with an atmospheric numerical model. If profiling Lidars are available, parameters from the numerical model are added as input to the machine learning algorithm and the training is performed directly at turbine hub height with the Lidar data. Once the wind at turbine hub height is obtained, the wind power is then calculated using a Weibull distribution. The resulting maps are compared with the outputs of the numerical model. The maps based on SAR data provide a much higher level of detail and a better estimation of the coastal gradient, which is important to optimize wind farm siting and estimate the potential energy production. The accuracy of the wind power is found to be in the range ±5% compared to the Lidars.","PeriodicalId":10936,"journal":{"name":"Day 2 Tue, August 17, 2021","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84363538","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}