In Russia, electrical submersible pumps are crucial for oil production, and the most efficient method of regulation is through the use of variable frequency drives. Low-voltage frequency converters are commonly employed in submersible pump electric drives due to their cost-effectiveness. Multi-level frequency converters offer enhanced reliability with their redundancy of power cells, resulting in longer time between failures. The text presents calculations to demonstrate the reliability of submersible pumps regulated electric drives.

A new well intervention service tool, the Well Intervention Service Tool (WIST), has been developed and tested for lifting observation wells to perform oil saturation logging. The slim hole pumping system is powered through a wireline power cable and a multi-resettable inflatable packer system allows for improved operational efficiency. The prototype system was field-tested and found to be an alternative to expensive and logistically challenging coiled tubing and nitrogen lift jobs. The WIST can operate in a single run rather than multiple runs required with conventional packer design. Future improvement plans have been identified based on the trial. Solutions have been implemented to the issues encountered during the testing phase.

The demand for highly efficient power supplies based on renewable energy has increased, particularly for those operating in tough environments like northern territories. To save time and cost in designing and testing these power supplies, simulators are used to create valid solar panel I-V curves under various operating conditions, including consumed power rating, temperature, and solar irradiation. A recent study considered a solar panel simulator topology based on classical control theory principles using a pulse buck converter. A mathematical model of the converter was developed and realized in MATLAB/Simulink, and a prototype of the simulator was built, showing correspondence to the Simulink model. The simulator can provide a full-scale simulation of solar panels in different modes, with a maximum open circuit voltage of 60 V and a short circuit current of 60 A. The paper also discussed issues related to statistical processing of experimental data and visualizing the obtained curves. The developed simulator could help create a product line of energy-efficient power supplies for autonomous objects based on renewables, including those operating in northern territories.

Farmers face the challenge of a lack of water supply for irrigation during the dry season. Existing options such as fuel pumps or electricity-powered pumps are expensive to operate. DC submersible pumps, operating on solar energy, can be a solution to this problem. This study aimed to determine the operation duration and productivity of the DC submersible pump, using quantifiable approaches. The study's results showed that a 20 Ah battery with 60 Wp solar panels could power the submersible pump for 240 minutes at maximum voltage, and the discharge is directly proportional to the storage height. However, an increase in storage height by 0.5 meters resulted in a reduction of the discharge rate. The maximum limit of submersible pump push is 3.7 meters with a 3 per 4 inch hose. The study provides farmers with a reference point for determining the height of water storage for irrigation and offers an affordable solution to water scarcity in agriculture.

Russian oil companies are facing the issue of depletion in oil wells, leading to increased production costs, necessitating the requirement for more efficient downhole equipment of electric centrifugal pumps. Artificial neural networks are used in constructing an automated software program in Python for selecting characteristics of an electric centrifugal pump to a well using Tensorflow. Production well data from Vankorskoye field are used to form the training samples. Factors such as production well flow rate, pump supply, watering, oil density, water density, depth of upper perforations, bottom hole depth, tubing lowering depth, dynamic level, formation pressure, wellhead pressure, fluid viscosity, feed coefficient, tubing outer diameter, tubing roughness, and pipe wall thickness are included in the sample. These variables affect the selection of electric centrifugal pumps characteristics and have a mutual influence on each other. The algorithm is designed to provide optimization by selecting the most suitable pump characteristics, thereby resulting in power saving. A model of the neural network is created using software PyCharm, taking into account the influencing parameters to predict the best characteristics of an electric centrifugal pump.

The search for energy efficiency and cost reduction in medium to high flow artificial lift systems has become a priority due to energy crises. The use of statistical tools and innovative calculation methods for identifying energy deviation zones can quickly highlight the inefficiencies of a system and the potential for adjustments and optimizations. Online monitoring can be performed on a daily, weekly or monthly basis, allowing users to identify and prioritize energy deviations of large ESP fields. This methodology leads to an increase in the exploitation of producing wells, a more efficient system and a higher run life. Additionally, it allows for the detection of viable possibilities for adjustments and optimizations, reducing downtime and higher costs in ESP repairs. The monitoring of energy variables allows for an economical impact analysis of each operating point and the directing of actions towards an economic, ecological and sustainable strategy. The paper outlines the implementation results and the follow up of a methodology utilizing algorithms based on energy indicators from flow rates, linked to the characteristics of ESP pumps, with monitoring of production, electrical, economic and equipment positioning variables in fields with more than 1,200 ESP running.

A study by the National Renewable Energy Laboratory (NREL) has found that using two wind turbines on a single floating platform could increase the amount of energy generated compared to using a single turbine. Analyzing a 5 MW model and using CENER's in-house multi-wind turbine simulation tool, researchers tested three different configurations in wind and wave loading conditions. These included a single floating wind turbine, forced platform movements on a bi-wind turbine, and a bi-wind turbine on a freely floating platform. The study found that having two side-by-side rotors on the same platform increased power generation. Several multi-wind turbine designs are currently being developed to decrease floating wind energy costs.

A new method has been developed to detect microscaled water droplets in lubricant oil for the purpose of submersible pump fault diagnosis. The detection method uses a simple optical measurement setup that is capable of providing real-time detection of submersible pump faults. The most common type of damage to submersible pumps is water inflow into the oil room due to mechanical seal degradation. The new method detects microscaled water droplets that flow into the oil room and predicts submersible pump faults. The experiment proved the effectiveness of this optical method for detecting water droplets contained in lubricant oil. The photodiode output voltage changes according to the power law as the inflow water quantity changes. Thus, with this new method, timely submersible pump fault detection is possible. This is a critical matter as without such timely detection, the submersible pump will not work continuously, which in turn affects the pumping of water for agricultural and domestic purposes.

Detecting early undesired conditions in centrifugal pumps can prevent consequential damage and reduce outage time and repair costs. One of the main causes of faults in centrifugal pumps is cavitation, which leads to impeller degradation and ultimately, pump material deterioration and breakdown. The diagnosis of a submersible centrifugal pump in this project demonstrates that it is possible to detect not only the presence of cavitation but also when it starts using the current and power signature analyses of its motor drive as diagnostic tools. By measuring experimental currents and voltages for different operating points of the pump, researchers were able to study the correlation between the cavitation phenomena and the power of the motor. This study provides insight into improving the maintenance and reliability of centrifugal pumps, reducing downtime and repair costs in the long run.

Mubadala Petroleum has investigated the power supply quality of its Electrical Submersible Pumps (ESP), which are used to lift oil to the surface when reservoir pressure is too low to do so naturally, following multiple ESP failures in one of its oil fields. The study aimed to understand whether power supply quality could lead to system breakdown. Measurement tools were connected to Variable Frequency Drives (VFDs) and power quality was assessed in terms of Total Harmonic Distortion (%THD), as well as Partial Discharge (PD) to determine whether any electrical anomalies could lead to insulation failure. The study found different VFD models produced different levels of %THD but all designs tested fell within acceptable limits of 2-15%. However, significant levels of PD were observed, which suggested the possibility of electrical anomalies capable of causing cable insulation failure. The paper details the new approach used in the study which focused on investigating the power quality system and applying PD measurement methods that are a new addition to the ESP industry.