Remote Operations, The Future of Drilling: Directional Drilling Remote Control

Author(s):  
Ignacio Antonio Gorgone ◽  
Juan Eutimio Gomez ◽  
Gary Uddenberg
2021 ◽  
Author(s):  
Jorge Heredia ◽  
Jan Egil Tengesdal ◽  
Rune Hobberstad ◽  
Julien Marck ◽  
Harald Kleivenes ◽  
...  

Abstract A pilot program for automated directional drilling was implemented as a part of the roll out plan in Norway to drill three dimensional wells in an automated mode, where steering commands were carried out automatically by the automation platform. The rollout plan also targeted the use of remote operations to allow personnel to be relocated from the rig location into remote drilling centers. The goal of the program was to optimize the directional drilling performance by assessing the benefits of automation using the latest rotary steerable system technologies and machine learning smart algorithms to predict and manipulated the BHA performance, as well as the ability to predict the best drilling parameters for hole cleaning. The automation was implemented on three different rigs and the data was compared with the drilling performance from the last two years, with three dimensional wells drilled in the conventional method. The main benefits between drilling wells in the conventional method versus drilling wells with the new drilling automation model include the following. Reduce the overall cost per meter –  Improve the rate of penetration –  Improve running casings Consistence process adherence –  Reduce human errors –  Reduce POB without sacrificing lost of technical experience Optimize workforce resources –  Allows continuity of service (COVID-19 restrictions) Drilling automation can drill smoother wells by reducing the friction factors and tortuosity. This is translated in direct cost savings per meter and reduction in the overall well delivery time, with the advantage of performing the execution and monitoring of the well performance remotely. This new drilling model open the door of new opportunities, especially for the challenges where the work force resources, and drilling performance is a priority for the operations.


2018 ◽  
Vol 9 (2) ◽  
pp. 53-57
Author(s):  
Arief Budijanto ◽  
Tamaji

— Mood lamp is a lamp made from RGB (red, green, blue) led that can be programmed based on its color through remote control, so that the color of the lamp can be determined by the user according to his mood. This lamp is designed using 89C2051 microcontroller with low power technology and uses RGB leds that can be programmed into several colors via a remote control. The remote control signal in this study uses the standard NEC remote code. The results of the led lights experiment can be programmed into 7 colors, namely red, blue, cyan, yellow, magenta, white, and green. The purpose of the results of this study in the future so that it can be used as a business opportunity in the field of creative industries, because this mood lamp can be used as a garden light, home porch lights, restaurants and cafes.


2020 ◽  
Vol 1 (46) ◽  
pp. 341-352
Author(s):  
Timkov O ◽  
◽  
Yashchenko D ◽  

The article is devoted to the development of the physical model of the vehicle, the equipment of the measuring, recording and remote control equipment for the experimental study of the properties vehicles. The construction of the physical model and the used electronic modules is described in detail, references are given to the application libraries and the code of the first part of the program for remote control. In the future, it is planned to develop a mathematical model of the movement of a passenger vehicle and to check its adequacy in conducting experimental studies on maneuverability on a physical model. The aim of the article is developed the physical model of the vehicle, equipped with measuring, recording and remote control equipment, for the experimental study of the properties of vehicle. Materials and research methods: development and designing (experimental research of properties of vehicles on the physical model); remote control; wheeled controlled module. The self-propelled large-scale model of the vehicle, reproducing a passenger car of the category M1, with a controlled wheelbase and a rear drive axle, has been developed. The model is equipped with the necessary measuring and recording equipment and remote control equipment. The software of the model allows you to implement both control manual and the given algorithm. In the future, it is planned to develop a mathematical model of the vehicle motion and to check its adequacy on the developed physical model. The obtained results will allow to improve not only the mathematical model, but also the experimental physical model and proceed further to the study of the properties of hybrid road trains with an active trailer link. KEY WORDS: VEHICLE, PHYSICAL MODEL, EXPERIMENT, STUDY, MODULE, MEMORY CARD, ACCELEROMETER, PROGRAM.


Author(s):  
Sean McQueen

This chapter examines Ray Bradbury's Fahrenheit 451 (1953). This novel imagines a society where minority pressure groups and mass communications technology have evolved into a concordance between masses and the State. Culturally and historically depthless, the fragile texture of a society governed by technology and simulacra is regulated not by an authoritarian State, but by the public themselves — what Baudrillard calls the simulation pact. With that in mind, this chapter argues that Fahrenheit 451's vision of the future has traversed the dystopian model, particularly that of Orwell's Nineteen Eighty-Four, to become an inversive utopia, and that its forms of subjectivity can be explained through Deleuze and Guattari's account of fascism.


2021 ◽  
Author(s):  
Samba BA ◽  
Maja Ignova ◽  
Kate Mantle ◽  
Adrien Chassard ◽  
Tao Yu ◽  
...  

Abstract Today, directional drilling is considered a mix between art and science only performed by experts in the field. In this paper, we present an autonomous directional drilling framework using an industry 4.0 platform that is built on intelligent planning and execution capabilities and is supported by surface and downhole automation technologies to achieve consistently performing directional drilling operations accessible for easy remote operations. Intelligent planning builds on standard planning activities that are needed for directional drilling applications and advances them with rich data pipelines that feed predictive and prescriptive machine-learning (ML) models; this enables more accurate BHA tendencies, operating parameters, and trajectory plans that ultimately reduce executional risk and uncertainty. Intelligent execution provides technologies that facilitate decision-making activities, whether they be from the wellsite or town, by leveraging the digital-drilling program that is generated from the intelligent planning activities. The program connects planning expectations, real-time execution data from the surface and downhole equipment, and generates insights from data analytics, physics-based simulations, and offset analysis to achieve consistent directional drilling performance that is transparent to all stakeholders. This new framework enables a self-steering BHA for directional drilling operations. The workflow involves an automated evaluation of the current bit position with respect to the initial plan, automated evaluation of the maximum dogleg capability of the BHA, and the capability to examine the health of the BHA tools and, if needed, an automated re-planning of an optimized working plan. This is accomplished on a system level with interdependencies on the different elements that make up the complete workflow. This new autonomous directional drilling framework will minimize operational risk and cost-per-foot drilled; maximize performance, procedural adherence, and establish consistent results across fields, rigs, and trajectories while enabling modern remote operations.


2020 ◽  
Vol 3 ◽  
Author(s):  
I. Madaleno ◽  
S. Branco

In this project, students built a hive by adapting remote control systems for its internal environment (temperature and humidity) and external environment (door, fire, location). The solution was aimed at beekeepers, and anyone interested in getting started in the beekeeping industry. The main goals of the project were to facilitate the work of beekeepers and to improve the management, control, and monitoring of hives. The solution created is feasible and satisfies the project's objectives.


2020 ◽  
Vol 42 (1) ◽  
pp. 13-24
Author(s):  
Rien Visser ◽  
Okey Francis Obi

Technology development, in terms of both capability and cost-effective integration, is moving at a fast pace. While advanced robotic systems are already commonplace in controlled workspaces such as factories, the use of remote controlled or autonomous machines in more complex environments, such as for forest operations, is in its infancy. There is little doubt autonomous machinery will play an important role in forest operations in the future. Many machine functions already have the support of automation, and the implementation of remote control of the machine where an operator can operate a piece of equipment, typically in clear line-of sight, at least is commonly available. Teleoperation is where the operator works from a virtual environment with live video and audio feedback from the machine. Since teleoperation provides a similar operator experience to working in the machine, it is relatively easy for an operator to use teleoperation. Autonomous systems are defined by being able to perform certain functions without direct control of a human operator. This paper presents opportunities for remote control, teleoperated machines in forest operations and presents examples of existing developments and ideas from both forestry and other industries. It identified the extraction phase of harvesting as the most logical placement of autonomous machines in the near-term. The authors recognise that, as with all emerging technologies and sectors, there is ample scope for differences in opinions as to what will be commercially successful in the future.


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