Energy is an essential component for prosperity, economic growth, and development and has become a basic necessity for humans, but at the same time, it has an impact on the environment. Therefore, it is believed that, in the coming future, renewable energy will play an important part in fulfilling the energy demand. In that respect, geothermal energy will be vital as it is a continuous source of energy that is not affected by metrological conditions and can be used in power generation or domestic heating. Many countries around the globe are actively producing energy from geothermal resources. However, the extraction of the heat from the subsurface comes with challenges such as subsurface environment, wellbore instability, corrosion, loss of circulation, and cementing operation. However, one of the most challenging and critical tasks is the zonal isolation of the geothermal well. A packer is a tool that is used for the zonal isolation of a well, and at high pressure and high temperature (HPHT) conditions, which is common for geothermal wells. Most of the components of packers fail, causing well integrity issues. This paper gives a review of the forces acting on packers, testing standards, problems encountered by a packer in the HPHT subsurface environment, and designs to overcome those problems.

Drilling technology and specially drilling equipment has dramatically changed in the last 10 years through intensive and innovative technologies, both in terms of hardware and software. While engineers are focusing on safer, faster, and more reliable than ever technologies, big data and automation are currently considered the way forward to achieve these goals. Especially when automation concepts are proposed, the prior testing and qualification under a laboratory-controlled environment are mandatory. Drilling simulators have been hugely successful in training industry personnel and academic professionals. A big reason for its success lies in the seamless integration of hardware and software to include an interactive user interface. Physical experimental simulators have the advantage of exposing the user with visual and auditive aids to better understand the real process. This paper provides an insight into the construction and results obtained using a dedicated laboratory setup, which is also configured to various levels of automation. The setup is capable of safely recreating drilling vibrations that occur in wells, including stick-slip vibrations, which are detrimental in nature. With advanced sensor capabilities, the impact of proper sampling rates on the diagnosis of stick-slip vibrations has been analyzed in the paper. The results show that these vibrations are not only dependent on drilling parameters, such as rotational speed (RPM), torque, and weight on bit, but also on stick-slip parameters, such as bit sticking time period and frequency.

The Industry 4.0 is here, and advanced technologies are widely available for domains such oil and gas which are traditionally slow in adopting extreme new technologies. This paper presents the design architecture and implementation of effective data acquisition (DAQ) and monitoring system applied to an experimental sucker rod pumping unit for both event occurrence and educational purpose using latest technological advancements and industry 4.0 principles. The designed framework allows control and monitoring of analog and digital sensors configured in a decentralized generation structure. This system controls the values of the sampling frequency, range of channels, the number of points to acquire and then retrieves the data acquired from the operation of a sucker rod pump setup. National Instruments LabVIEW was used for the solution architecture presented in this study data collection and diagnostic analysis. Some of the operational physical parameters analysed and monitored include pressure, fluid production rate, valve leakage, pump efficiency, vibrations and energy consumption. The proposed architecture can be built easily with very low energy consumption, high reliability, ample flexibility for quicker data retrieval and prospective future modifications.