bluuebunny/crossref_metadata_2025_split huggingface dataset:
Notas sobre gestos de interpretação: o sem-sentido e o não-sentido em face do distanciamento social
Authors: Da Costa Greciely Cristina 
Published: August 2021

Na busca por compreender gestos de interpretação produzidos no contexto de pandemia do novo coronavírus (Covid-19), neste artigo, proponho uma leitura discursiva de uma reportagem a respeito da reabertura do comércio de rua em Campinas realizada por um telejornal local como ponto de partida para uma reflexão sobre a relação entre o sem-sentido e o não-sentido, com base na distinção elaborada por Orlandi (1998). Filiada ao dispositivo teórico-analítico da Análise de Discurso, almejo analisar os processos de significação desencadeados tanto pelo o que é dito na reportagem quanto pelo o que é dito nos comentários da página do telejornal no facebook em torno de uma cena urbana remetida à aglomeração. Para isso, investida numa escuta (discursiva) social, é possível observar de que modo o distanciamento, como política sanitária, é invisibilizado pela saturação dos sentidos de aglomeração. Com efeito, ele fica soterrado pelo sem-sentido.
Palavras-chave: Gesto de Interpretação; Aglomeração; Análise de Discurso.
Unlocking the Potential of Fiber-Optic Distributed Temperature Sensing in Resolving Well Integrity Issues
Authors: Dutta Shaktim , Singh Kamaljeet , Agrawal Gaurav , Kumar Apoorva 
Published: August 2021

Abstract
Multiple leaks in production tubing of deep wells can be efficiently identified using fiber-optic distributed temperature measurement and thereby mitigating the health, safety and environment (HSE) risk associated with a potential well barrier failure. Further, a production log can be used to gain more insight and finalize a way ahead to resolve the issues of the well integrity.
An innovative solution-driven approach was identified with fiber-optic distributed measurement playing a key role. Multiple leaks were suspected in the production system and a fiber-optic cable was run to identify possible areas of leak path. In these deep wells, after the fiber-optic data acquisition, a production log was recorded across selective depths to provide more insights on leak paths. Post identification of leak depths, a definitive decision between tubular patching and production system overhaul was decided based on combined outputs of fiber-optic, production log and tubular patch technology.
Results are presented for a two-well operation. Taking an example of Well A, leaks were successfully identified at three depths using the novel operational approach. Further, operation time was reduced from three days (conventional production log measurement performed during daylight operation) to one day (combination of fiber-optic distributed temperature sensing and production log in a single run). Diagnosis of production system issues were completed in one flowing and one shut-in survey condition, thereby reducing the risk of HSE exposure with multiple flowing conditions (conventional production log measurement). Additional insight and confirmation on leaks were observed from production log data which helped identify the presence of a leak across the tubing body. This observation was substantial in deciding whether to proceed with tubing patch or replace the entire production tubing. Tubing patch technology was not satisfactorily recognized to provide well integrity across leak depths. Hence, the decision was made to replace the entire production tubing.
The novel operational approach affirms the versatility of fiber-optic distributed temperature measurement in solving critical issues of operation time and reducing HSE exposure while delivering decisive information on production system issues. The paper serves as a staging area for other applications of similar nature to unlock even wider horizons for distributed temperature sensing.
First Full-Electric Shared-Actuation Control for Subsea Manifolds in Brazilian Ultra-Deep Waters: A Discussion of the Technological Development up to Field Commissioning
Authors: Rabello Alexandre , Neto Dorival Natal , Coelho Eduardo , Seraco Estevan , Destro Wagner , Labes Alan , Rodriguez Gustavo , Cuellar Nilton , Lacher Esteban , Marcos Daniel , Coelho Vitor Cremoso , Noriega Nestor 
Published: August 2021

Abstract
In projects to develop offshore production in Brazilian pre-salt fields, an innovative model of subsea manifolds is being used, based on shared-actuation control (SAC) for the remote operation of valves. The control solution, which comprises the first full-electric robotic tool designed to operate in ultra-deep waters, has achieved an important mark in 2020, with the commissioning and start-of-operation of the first fabricated unit. In this article, we present lessons learned and discuss relevant specifications and programs of the technological development that contributed for the results obtained so far.
Considering aspects on conception, technology, and environment of application, the pre-salt SAC required the adoption of new solutions on several disciplines of subsea engineering. As a typical case of technological development, the design process comprised decisions on engineering requirements and the establishment of a comprehensive qualification program. Now, after the first robot completing critical stages at field, such as subsea deployment, functional testing, and integration with the subsea system, we obtain a set of performance results that serve us to evaluate e.g. how effective were the selected technical specifications and testing routines, used throughout the engineering program. This discussion also provides possible adjustments in the overall development plan, considering its application as new generations of SAC arise.
The commissioning in 2020 of the first robot resulted in its full integration with the subsea manifold and the correspondent production system, contributing to water-alternating-gas injection in the pre-salt field Tupi Extremo Sul. A second subsea system featuring the same model of robotic tool, for manifold control, is in advanced schedule in 2021 for integration in Búzios II, another pre-salt field in Brazil.
Confirming the advantages that we could expect with the adoption of SAC in subsea equipment, the pre-salt SAC allowed a series of optimizations on design of the robot-controlled manifold. The robot tool replaced all the hydraulic actuators that traditional control systems, based on electric-hydraulic multiplexing, would require to implement remote controlling of the manifold valves. This led to a significant reduction on sizes and weight of the manifold structure.
Benefits of Using Requirements Management Tools on a Digitized API 17O Document
Authors: Climacosa Reynaldo Celestial , Matlock Sierra Foster , Ollero Joveline Anne , Miller David 
Published: August 2021

Abstract
Currently oil and gas companies are spending billions of dollars on digitalization efforts. One important aspect of a project that needs to be digitized are requirements. Most oil and gas companies receive project documentation and requirements as PDF files. Receiving PDF documents make it very difficult for companies to manipulate the content to identify which parts of the document are requirements and which parts are just background information. In addition, documents that contain requirements have poorly written requirements that are ambiguous, and can have many interpretations, making it difficult to show compliance. To solve the issues caused by poorly written requirements and receiving PDF files instead of receiving requirements in a more usable format, the solution is to rewrite the requirements and use a requirements management (RM) tool to put the requirements in a database. The American Petroleum Institute (API) 17O 2nd Edition document and a representative list of High Integrity Pressure Protection System (HIPPS) product requirements are used to show the benefits of using a requirements management tool. This paper will describe the prerequisites prior to selecting an RM tool, show how using a requirements quality analyzer tool can aid in preparing requirements to be imported into an RM tool, demonstrate the main benefits of using an RM tool in a project context, and discuss lessons learned from adding an RM tool to a document-based project.
Asset Lifecycle Management – The Digital Solution
Authors: Dady Johnathan Eugene 
Published: August 2021

Abstract
The challenges presented in the current market environment demand operational efficiency with low risk tolerance. Maximizing uptime and reducing unplanned events is paramount to preserve revenue. Asset Lifecycle Management (ALCM) is a strategy built to capitalize on the use of data analytics, superior system integration, and comprehensive condition assessments. This strategy is intended to produce significant benefits and maximize shareholder return through the optimization of maintenance, operations, and inventory.
Traditional schedules of maintaining equipment can be replaced with automated analytics enhanced by equipment design knowledge and historical data. Developing technology enables a cost-effective means of applying this capability. Monitoring equipment condition and advanced analysis of equipment data compared to design parameters and historical performance provides valuable insight into the actual usage and lifecycle of the equipment. Design life utilization (usage) of critical load path drilling equipment can be determined by comparing how much work the equipment has done to how much work it was designed to do. This paper explores new methods of analyzing operational and equipment data, enabling the creation of robust usage models. These models are compared with the analysis of vibration, oil, fatigue, dimensional, and other physical inspection data. This empowers a comprehensive usage and condition monitoring paradigm that is data driven. Case studies performed on multiple drilling rigs proves extremely low usage and supports the deferral of traditional 5-year overhauls on this equipment. Modeling of normal operations is also explored, and a hook load model is created. The statistical analysis available from this operating model is compared to historical operational and maintenance records and proves to track an actual failure, thus substantiating value for anomaly detection if used real-time.
Premium Anti-Rotation Casing Connector with Metal-to-Metal Seal Optimized for High Fatigue Performance to Meet Market Needs by Reducing OPEX and Risk Exposure
Authors: Ellisor Scott Patrick , Grohmann Andrew John , Rye Justin Lee , Kaculi Jim T. 
Published: August 2021

Abstract
The oil and gas industry continues to face the need to reduce risk exposure and OPEX as a means to compensate for market volatility and lower oil prices. Typical casing connector designs and methods of running casing are becoming less viable as the industry struggles to lower installation costs and reduce HSE concerns. This dilemma leads manufactures to provide practical solutions to reduce the risk exposure while driving costs down by reducing installation time and required rig personnel. This paper outlines how this innovative and fully qualified technology lowers overall risk exposure while reducing OPEX during the installation of casing connectors.
A new premium threaded connector named BADGeR™ has been designed and fully qualified and its features have been patented. State of the art verification techniques utilizing finite element analysis were used to fully simulate the combined load conditions during the qualification program that mimic field conditions and meet and exceed industry standard requirements. Special consideration was given to connector make-up and metal-to-metal sealing technology, superior fatigue performance, welding, coating, galling, surface finish, and lubrication. After a lengthy iterative design process, the final design was fully qualified following ISO 13679 / API 5C5 with additional fatigue performance testing.
Details of the design features, analysis methodology and results, structural and sealability test results, and fatigue test results are presented. Advantages of this casing connector design relative to traditional industry casing connectors are highlighted.
BADGeR includes an innovative hands-free anti-rotation mechanism that significantly reduces rig time and HSE risk exposure. The connector has automatic make-up with gas tight metal-to-metal seal performance that is not impacted by increased tension to the string. The fatigue performance of this connector exceeds the current market offerings. This combination of features incorporated into the connector has gained the attention of the industry and the opportunity to use this technology for critical service wells applications.
Integrated Approach to Multiphase Flow Regime Prediction Through Computational Fluid Dynamics CFD
Authors: Straw Matt , Aglave Ravindra , Piccioli Rodolfo 
Published: August 2021

Abstract
This paper presents recent advances in multiphase modelling methods in Computational Fluid Dynamics (CFD). It uses case studies to show how integration of advanced multiphase modelling approaches can improve the fidelity and realism of simulation of separation and process systems; helping improve design and performance.
CFD has been widely used to aid the design and operational performance of many separation and multiphase production and process systems; often providing significant insight and performance improvement.
Traditionally, numerous compromises or simplifications must be made when simulating complex multiphase flows and their transitions within production and separation systems using CFD. For example, the modelling methods applicable to capture gas-liquid or liquid-liquid interface behaviour are not suitable (or practical) to also capture gas columns, liquid films or liquid entrainment phenomena, that may be important to quantifying overall system performance. To accommodate different multiphase phenomena and flow regimes, multiple CFD simulations or approaches have often been required. This can limit the insight or fidelity of a given simulation or, in some cases, mean overall performance cannot be fully quantified (even though useful performance indicators may still be identified).
Here, the authors present advances in hybrid multiphase modelling and how integration of multiphase modelling approaches enables multiple multiphase flow regimes and their transition to be captured through CFD simulation. The paper will demonstrate how these advances enables simulation of more complex behaviours with increased fidelity.
Examples, case studies and validation cases are presented demonstrating phenomena including bulk liquid interface break-up, liquid film formation and entrainment of droplets plus their break—up and deposition. The examples will be presented in the context of the improvements possible in simulation fidelity and realism, of multiphase systems, and how this can impact the insight and value gained from CFD simulation in this complex field.
The work presented shows how new developments and evolution of CFD-based predictions can advance how the industry uses this approach and the value that can be obtained.
It highlights how integration of the most advanced modelling approaches and methods is key to the next stage of application of CFD to enable better representation of the full range of fluid mechanics that are critical to many separation and multiphase system designs and performance.
Empirical Design of Optimum Frequency of Well Testing for Deepwater Operation
Authors: Udofia Emmanuel 
Published: August 2021

Abstract
Well testing could be described as a process required to calculate the volumes of (oil, water and gas) production from a well in a bid to identify the current state of the well. Amongst other things, well testing aims to provide information for effective Well, Reservoir and Facility Management. Normally, as a means of well performance health-check, reconciliation factor (RF) is generated by comparing the fiscal production volume against the theoretical well test volume. Experiences from the Coronavirus pandemic has brought about the new normal into well test execution. In deepwater environment, the process of well testing is more challenging and this paper aims to address these challenges and propose optimum well test frequency for deepwater operations.
It is usually required that routine well test be conducted once every month on all flowing strings, this is for statutory compliance and well health-check purposes. However, in deepwater environment, it is difficult to comply with this periodic well test requirement mainly due to production flow line slugging, plant process upset and/or tripping resulting in production deferment and operational risk exposure. Furthermore, to carry out well test in deepwater operation, production cutback is required for flow assurance purpose and this usually results in huge production deferment. In this field of interest, this challenge has been managed by deploying a data-driven application to monitor production on individual flowing strings in real-time thereby optimizing the frequency of well test on every flowing well. Varying rate well test data are captured and used to calibrate this tool or application for subsequent real-time production monitoring. This initiative ensures that all the challenges earlier mentioned are managed while actually optimizing the frequency of testing the wells using intelligent application which serves as a ‘virtual meter’ for testing all producing wells in real time.
As mentioned, well testing in most deepwater assets remain a big challenge but this project based field experience has ensured effective well testing operation resulting in reduction of production deferment and safety exposure during plant tripping whilst optimizing frequency of testing the wells. Following this achievement of the optimized well test to quarterly frequency in this field in Nigerian deepwater, recommendation from this paper will assist other deepwater field operators in managing routine well testing operation optimally.
The Effects of Low Temperature Carbon Diffusion on Stainless Steel
Authors: Dymond Paul , Bauer Alexandra , Cummings David 
Published: August 2021

Abstract
Stainless steels along with Nickel based alloys are often selected for many applications in corrosive environments. While resistance to corrosion makes them a favorable choice, poor tribological behavior may prevent a broader use of these materials. The Kolsterising® process is a proven method for the surface hardening of these materials by the diffusion of carbon. This paper intends to highlight the improvements typically seen in key mechanical properties including resistance to galling, wear resistance, and fatigue life. Untypically, due to the nature of the process, these properties are generally improved without the usual associated reduction in corrosion resistance. Property improvements will be demonstrated using both new and existing data from Europe and North America.
A Digital Twin for Real-Time Drilling Hydraulics Simulation Using a Hybrid Approach of Physics and Machine Learning
Authors: Amur Varadarajan Prasanna , Roguin Ghislain , Abolins Nick , Ringer Maurice 
Published: August 2021

Abstract
Abnormal hydraulic event detection is essential for offshore well construction operations. These operations require model comparisons and real-time measurements. For this task, physics-based models, which need frequent manual calibration do not accurately capture all the hydraulic trends. The paper presents a method to overcome existing limitations by combining physics-based models with machine learning techniques, which are suited for time series forecasting. This method ensures accurate and reliable predictions during the forecasting period and helps remove the need for frequent manual calibration of the hydraulic input parameters.
A Subsea Chemicals Storage Solution Based on Liquid Barriers
Authors: Simionato Manuel , Giudicianni Carlo 
Published: August 2021

Abstract
This paper presents a solution for subsea storage of chemicals, where the conventional solid barriers between the chemical and sea water are replaced by a liquid layer, forming a liquid stacking tower inside a vertical tank. It can deal with most of the chemical formulations, providing a pressure balanced system based on barriers that are inherently damage-free. The storage units are easy to integrate and maintain as their design is simple. The benefits of the technology are discussed, also providing an overview of the ongoing qualification programme.
Automated Reservoir Management Workflows to Identify Candidates and Rank Opportunities for Production Enhancement and Cost Optimization in a Giant Field in Offshore Abu Dhabi
Authors: Mata Carlos , Saputelli Luigi , Badmaev Dorzhi , Zhao Wenyang , Mohan Richard , Gönczi David , Schweiger Andreas , Manasipov Roman , Schweiger Georg , Krenn Lisa , Toumi Oussema 
Published: August 2021

Abstract
As the field matures and overall field production decline, an accelerated and advanced selection of existing wells for workovers and sidetracks would be critical to meet with the increasing demand for production. Traditionally, an intensive effort is required to identify the right candidates and to ensure the technical and economic success of well interventions, infill-drilling locations and sidetrack locations.
An advanced workflow is developed to automate the repetitive and less added value tasks such as data gathering and validation. The data set included historical production performance, static and dynamic reservoir and fluid properties, events and issues encountered within the evaluated wells and regions. The proposed solution allowed an integrated assessment of production enhancement opportunities through various consistent analytic computations, as well as machine learning techniques including Bayesian networks and time-series forecasting models.
The automated process generates a comprehensive list of future well interventions including sidetrack candidates, infill-drilling locations and behind casing opportunities with an advanced scoring system and several technical (production performance and reserves) and financial KPIs (i.e. net present value and unit technical cost). Several dashboards built and adjusted with the involvement of various company departments. Lastly, highly ranked opportunities are incorporated into the business plan in accordance to field development targets as well as the availability technical resources (rigs, materials, well availability).
The developed solution was tested and validated in a giant mature carbonate field with over 700 well strings in Offshore Abu Dhabi. The solution identified 20 times more feasible opportunities than the typical multidisciplinary team review in 75% less time duration. The automated workflows considered re-evaluating and selecting prime candidates with a reduced risk of failure, therefore improving the technical and economic value by 34%. The workflows are scheduled on daily basis giving a time-dependent assessment and expert monitoring system, which can also notify the operator when problems encountered. Instead of computationally heavy traditional numerical simulation models, the assessment of a large number of well count can be done within hours instead of months.
The combination of physics and machine learning based models lead to the development of automated workflows to rank and determine the best candidates via a successful cost optimization and production enhancement.