Volume 11: Petroleum Technology最新文献_第2页

Drilling Cutting Analysis to Assist Drilling Performance Evaluation in Hard Rock Hole Widening Operation 辅助硬岩扩孔钻井性能评价的钻削分析

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-19286

Daiyan Ahmed, Yingjian Xiao, Jeronimo de Moura, S. Butt

{"title":"Drilling Cutting Analysis to Assist Drilling Performance Evaluation in Hard Rock Hole Widening Operation","authors":"Daiyan Ahmed, Yingjian Xiao, Jeronimo de Moura, S. Butt","doi":"10.1115/omae2020-19286","DOIUrl":"https://doi.org/10.1115/omae2020-19286","url":null,"abstract":"\u0000 Optimum production from vein-type deposits requires the Narrow Vein Mining (NVM) process where excavation is accomplished by drilling larger diameter holes. To drill into the veins to successfully extract the ore deposits, a conventional rotary drilling rig is mounted on the ground. These operations are generally conducted by drilling a pilot hole in a narrow vein followed by a hole widening operation. Initially, a pilot hole is drilled for exploration purposes, to guide the larger diameter hole and to control the trajectory, and the next step in the excavation is progressed by hole widening operation. Drilling cutting properties, such as particle size distribution, volume, and shape may expose a significant drilling problem or may provide justification for performance enhancement decisions. In this study, a laboratory hole widening drilling process performance was evaluated by drilling cutting analysis. Drill-off Tests (DOT) were conducted in the Drilling Technology Laboratory (DTL) by dint of a Small Drilling Simulator (SDS) to generate the drilling parameters and to collect the cuttings. Different drilling operations were assessed based on Rate of Penetration (ROP), Weight on Bit (WOB), Rotation per Minute (RPM), Mechanical Specific Energy (MSE) and Drilling Efficiency (DE). A conducive schedule for achieving the objectives was developed, in addition to cuttings for further interpretation. A comprehensive study for the hole widening operation was conducted by involving intensive drilling cutting analysis, drilling parameters, and drilling performance leading to recommendations for full-scale drilling operations.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115837719","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}

引用次数: 2

A Comparative Study of Laminar-Turbulent Displacement in Eccentric Annulus Under Imposed Flow Rate Conditions 施加流量条件下偏心环空层流-湍流位移的比较研究

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18227

Y. Foolad, M. Bizhani, I. Frigaard

{"title":"A Comparative Study of Laminar-Turbulent Displacement in Eccentric Annulus Under Imposed Flow Rate Conditions","authors":"Y. Foolad, M. Bizhani, I. Frigaard","doi":"10.1115/omae2020-18227","DOIUrl":"https://doi.org/10.1115/omae2020-18227","url":null,"abstract":"\u0000 In this paper, we present and discuss an experimental study of fluid-fluid displacement in a fully eccentric horizontal annulus. Experiments were designed to simulate turbulent displacing flows, and the results are used to investigate the displacement processes in terms of interface dynamics and displacement efficiency. It is widely believed that turbulent flows are more efficient at displacement, but it is not always clear under what conditions this comparison is made. A set of experiments was conducted to investigate the role of flow regime under a constant imposed flow rate in the absence of any stabilizing buoyancy effect (i.e. iso-density fluids). Carbopol solutions are displaced with various concentrations of Xanthan gum, to simulate a drilling mud displaced by a spacer fluid. The flow regime of the displacing fluid spans from laminar to fully turbulent flow regimes. The displacement tests are all unsteady in a sense that wide-gap velocity is always faster than that of the narrow-gap. The displacement flows and interface dynamics are captured using optical techniques, and the images are post-processed to ascertain the displacement efficiency, interface velocity and elongation. We conclude with a discussion on the significance of outcomes achieved in this study, and also limitations of the experimental technique.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132647170","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}

引用次数: 0

Machine Learning Models With Engineering Insight: Case Studies From the Oil and Gas Industry 具有工程洞察力的机器学习模型:来自石油和天然气行业的案例研究

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18895

I. Chakraborty, Daniel J Kluk, S. McNeill

{"title":"Machine Learning Models With Engineering Insight: Case Studies From the Oil and Gas Industry","authors":"I. Chakraborty, Daniel J Kluk, S. McNeill","doi":"10.1115/omae2020-18895","DOIUrl":"https://doi.org/10.1115/omae2020-18895","url":null,"abstract":"\u0000 Machine learning is gaining rapid popularity as a tool of choice for applications in almost every field. In the oil and gas industry, machine learning is used as a tool for solving problems which could not be solved by traditional methods or for providing a cost-effective and faster data driven solution. Engineering expertise and knowledge of fundamentals remain relevant and necessary to draw meaningful conclusions from the data-based models. Two case studies are presented in different applications that will illustrate the importance of using engineering domain knowledge for feature extraction and feature manipulation in creating insightful machine learning models. The first case study involves condition-based monitoring (CBM) of pumps. A variety of pumps are employed in all aspects of the oilfield life cycle, such as drilling, completion (including hydraulic fracturing), production, and intervention. There is no well-established method to monitor the pump fault states as they are operating based on sensor feedback. As a result, maintenance is performed either prematurely or reactively, both of which result in wasteful downtime and unnecessary expense. A machine learning based neural network model is used for identifying different fault states in a triplex pump from measured pressure sensor data. In the second case study, failures of mooring lines of an offshore floating production unit are predicted from the vessel position data. Identifying a damaged mooring line can be critical for the structural health of the floating production system. In offshore floating platforms, mooring line tension is highly correlated to a vessel’s motions. The vessel position data is created from running coupled analysis models. A K-Nearest-Neighbor (KNN) classifier model is trained to predict mooring line failures. In all the case studies, the importance of combining a deep understanding of the physics of the problem with machine learning tools is emphasized.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802987","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}

引用次数: 0

Widening Drilling Operation: Performance Analysis on the Application of Fixed Cutter Drill Bits in Hard Rock Formation 扩孔作业:固定齿钻头在硬岩地层中的应用性能分析

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18836

J. De Moura, Yingjian Xiao, Daiyah Ahmed, Jie Yang, S. Butt

{"title":"Widening Drilling Operation: Performance Analysis on the Application of Fixed Cutter Drill Bits in Hard Rock Formation","authors":"J. De Moura, Yingjian Xiao, Daiyah Ahmed, Jie Yang, S. Butt","doi":"10.1115/omae2020-18836","DOIUrl":"https://doi.org/10.1115/omae2020-18836","url":null,"abstract":"\u0000 This study is an evaluation of drilling mechanisms for widening drilling operations, which are also called hole opening or enlarge drilling operations, in hard rock formations during drilling operation with fixed cutter bits. This paper focuses on correlating drilling performance, or Rate of Penetration (ROP), with drilling parameters such as Weight on Bit (WOB), rotary speed, Torque on Bit (TOB) and bit type. Laboratory Drill-Off Tests (DOT) were conducted using a drilling simulator. Natural granite specimens were penetrated using different types of fixed cutter bits with different diameters. Various magnitudes of WOB were applied during these drilling experiments in order to study drilling performance in this type of formation. A well-organized drilling experimental plan was proposed to cover both procedures of pilot holes and widening drilling operations. Comparison were made between performance conditions obtained during the drilling operations of pilot holes and similar conditions during widening drilling operations. Furthermore, bit-rock interaction was studied by comparing experimental data with that obtained from empirical models. The focus of this paper was to analyze the ROP during each stage of the widening drilling operations of a pilot hole and its correlation with other parameters. The applicability of current empirical models and their limitations in widening drilling operations in hard rock formation was analyzed. In this way, this drilling model is applied in widening drilling operations of hard rock formation with fixed cutter bits.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"49 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125918601","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}

引用次数: 2

Estimating Swelling in Oil-Based Mud due to Gas Kick Dissolution 气涌溶解对油基泥浆溶胀的影响

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18115

K. Manikonda, A. Hasan, Omer Kaldirim, N. Rahmani, M. A. Rahman

{"title":"Estimating Swelling in Oil-Based Mud due to Gas Kick Dissolution","authors":"K. Manikonda, A. Hasan, Omer Kaldirim, N. Rahmani, M. A. Rahman","doi":"10.1115/omae2020-18115","DOIUrl":"https://doi.org/10.1115/omae2020-18115","url":null,"abstract":"\u0000 Gas kick is an ever-present hazard whose importance is magnified for offshore drilling situations. Modeling gas kick is a complex problem that requires an understanding of the relevant fluid dynamics as well as the solubility of natural gas in oil-based muds (OBM). Drilling fluid swelling due to natural gas solubility in OBM significantly affects the extent of pit gain — one of the primary indicators of a kick in progress. This paper specifically addresses the issue of drilling fluid swelling from gas dissolution in OBM.\u0000 Drilling fluid swelling due to gas dissolution is generally expressed the same way as oil swelling due to dissolved gas, by the volume factor, Bo. Many correlations for estimating Bo as a function of temperatures and pressures are available. We have developed a rigorous thermodynamic approach for estimating Bo. Our approach uses the Peng-Robison (1976) equation of state (EOS), van der Waals mixing rules, and binary interaction coefficients appropriate for drilling fluids to account for gas solubility. Solving the cubic form of the Peng-Robinson EOS yields a z-factor for the liquid phase of the mixture. The model uses this z-factor to estimate the liquid-phase volume of dissolved methane and, consequently, Bo. This paper validates the results of estimated Bo from this method with volume factor calculations obtained from Aspen HYSYS. Finally, this paper also presents a section where the methane mole fraction data at different P&T conditions, obtained from HYSYS simulations, is used to validate the solubility model previously developed by Manikonda et al. (2019).","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407964","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}

引用次数: 4

Attempt of a Real-Time Drilling State Identification With Machine Learning 基于机器学习的钻孔状态实时识别方法的尝试

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-19169

Tomoya Inoue, J. Ishiwata, R. Wada, J. Tahara

{"title":"Attempt of a Real-Time Drilling State Identification With Machine Learning","authors":"Tomoya Inoue, J. Ishiwata, R. Wada, J. Tahara","doi":"10.1115/omae2020-19169","DOIUrl":"https://doi.org/10.1115/omae2020-19169","url":null,"abstract":"\u0000 Japan Agency for Marine-Earth Science and Technology (JAMSTEC) operates the scientific drillship Chikyu for scientific research. However, Chikyu has experienced problems with respect to drill pipe failure. This may be due to the limitation of indication of anomalies such as drill pipe failure in conventional drilling data monitoring.\u0000 As one of primary aims of scientific drilling is to recover core samples from sediment layers under the seabed, improving core recovery rate is very important because it can enhance the operation efficiency. Obtaining the information of lithology of drilling layer is also helpful for both scientific and operational aspects. However, there is no direct information regarding the core recovery rate and lithology. The recovery rate and lithology can be determined after retrieving a coring tool. Therefore, this study applies a machine learning technique to identify the drilling states, which includes anomaly detection of the drilling torque assuming the drill pipe failure, the prediction of core recovery rate as well as lithology.\u0000 This study aims to achieve real-time drilling state identification. Accordingly, a drilling data acquisition and distribution system was developed. The drilling data distributed from the system is read by data analysis systems in several languages for real-time analysis.\u0000 The drilling state identification models created in Python include the anomaly detection model and the prediction models of the core recovery and lithology. The models were installed in the real-time drilling data analyzing system, and real-time drilling state identification was attempted during the operation to confirm the health of the real-time drilling data analyzing system and to demonstrate identification with machine learning.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"104 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120814740","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}

引用次数: 0

A Convenient Technology to Calculate Geomechanical Properties From Drilling Data 一种利用钻井数据计算地质力学特性的便捷技术

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18923

M. Tahmeen, G. Hareland, J. Hayes

{"title":"A Convenient Technology to Calculate Geomechanical Properties From Drilling Data","authors":"M. Tahmeen, G. Hareland, J. Hayes","doi":"10.1115/omae2020-18923","DOIUrl":"https://doi.org/10.1115/omae2020-18923","url":null,"abstract":"\u0000 The multistage hydraulic fracturing is the best practice to stimulate unconventional hydrocarbon reservoirs for optimal production. Recent studies suggested that selective stimulation design could significantly increase production rates at a reduced cost rather than using non-selective geometric stages. An optimal design needs detailed logging and core information to selectively perforate and optimize the stimulation treatment. In most cases, the non-selective evenly spaced geometric stimulation design is used, primarily due to the time consuming and expensive conventional logging tools and techniques.\u0000 In this article, a 3D wellbore friction model is used to estimate the effective downhole weight on bit (DWOB) from the drilling data, directional survey data and drill string information. The estimated DWOB is used as an input to the inverted rate of penetration (ROP) model along with other drilling data, drill bit specifications and reservoir specific formation constants, to calculate rock mechanical and reservoir properties including, compressive strength, Young’s modulus, porosity, permeability and Poisson’s ratio without the use of expensive downhole logging tools. The rock brittleness index is calculated from the relationship between Young’s modulus and Poisson’s ratio based on the definitions of rock brittleness used in recent years.\u0000 The field data from horizontal drilling of three sample wells were used to investigate the geomechanical properties in the Montney shale formation and the lower Eagle Ford formation in North America. The calculated geomechanical properties were compared to the corresponding test analysis on cores. The authors investigated the rock brittleness index from the sample well data drilled horizontally in the lower Eagle Ford formation. This novel technology could help geologists and reservoir engineers better exploit unconventional reservoirs leading to optimal selective stimulations and greater net present value (NPV).","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024014","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}

引用次数: 1

Digital Technologies and Standardization for Next Generation of FPSO Hulls 下一代FPSO船体的数字技术和标准化

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-18898

Bernard Mattos, Eduardo de Souza Lima Figueiredo, Jackson Luan Queiroz

引用次数: 0

Characterization of the Rheological Behavior of Drilling Fluids 钻井液流变特性的表征

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-19288

E. Cayeux, A. Leulseged

{"title":"Characterization of the Rheological Behavior of Drilling Fluids","authors":"E. Cayeux, A. Leulseged","doi":"10.1115/omae2020-19288","DOIUrl":"https://doi.org/10.1115/omae2020-19288","url":null,"abstract":"\u0000 It is nowadays well accepted that the steady state rheological behavior of drilling fluids must be modelled by at least three parameters. One of the most often used models is the yield power law, also referred as the Herschel-Bulkley model. Other models have been proposed like the one from Robertson-Stiff, while other industries have used other three-parameter models such as the one from Heinz-Casson.\u0000 Some studies have been made to compare the degree of agreement between different rheological models and rheometer measurements but in most cases, already published works have only used mechanical rheometers that have a limited number of speeds and precision. For this paper, we have taken measurements with a scientific rheometer in well-controlled conditions of temperature and evaporation, and for relevant shear rates that are representative to normally encountered drilling operation conditions. Care has been made to minimize the effect of thixotropy on measurements, as the shear stress response of drilling fluids depends on its shear history. Measurements have been made at different temperatures, for various drilling fluid systems (both water and oil-based), and with variable levels of solid contents.\u0000 Also, the shear rate reported by the rheometer itself, is corrected to account for the fact that the rheometer estimates the wall shear rate on the assumption that the tested fluid is Newtonian. A measure of proximity between the measurements and a rheological model is defined, thereby allowing the ranking of different rheological behavior model candidates. Based on the 469 rheograms of various drilling fluids that have been analyzed, it appears that the Heinz-Casson model describes most accurately the rheological behavior of the fluid samples, followed by the model of Carreau, Herschel-Bulkley and Robertson-Stiff, in decreasing order of fidelity.","PeriodicalId":403225,"journal":{"name":"Volume 11: Petroleum Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771771","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}

引用次数: 4

Study on Acid Fracturing Technology for Carbonate Reservoirs in Ordos Basin 鄂尔多斯盆地碳酸盐岩储层酸压技术研究

Volume 11: Petroleum Technology Pub Date : 2020-08-03 DOI: 10.1115/omae2020-19296

Mu Li, Lufeng Zhang, Minghui Li

引用次数: 0