Tackling Inconsistencies in Pump Performance with EnerGPT: A Practical Use Case

John

John

Jun 26, 2023

Tackling Inconsistencies in Pump Performance with EnerGPT: A Practical Use Case

In the demanding world of oil and gas operations, efficiency and consistency are key. Variations in equipment performance can significantly impact operational output and profitability. Today, we present a real-world scenario showcasing how EnerGPT, an application leveraging the power of OpenAI's advanced language model, ChatGPT, in tandem with extensive industry knowledge, can provide invaluable insights.

Scenario

Consider an oil and gas extraction operation experiencing significant variations in pump performance across its well sites. Despite routine maintenance and pump replacements, the inconsistency persists. Surprisingly, these variations occur even when geological and operational conditions across the well sites are similar. The operations team is puzzled - what could be causing these inconsistencies in pump performance, and what measures can they take to investigate and rectify these performance variations?

Let's ask EnerGPT what could be wrong.

Our oil and gas extraction operation is currently experiencing significant variation in pump performance across our well sites. The issue seems to persist despite routine maintenance and pump replacements. Given the similar geological and operational conditions across the well sites, this inconsistency is puzzling. What could be causing these inconsistencies in pump performance and what measures can we take to investigate and rectify these performance variations?

Response

EnerGPT suggests one big potential cause - Inflow problems.

Based on the given information, the inconsistencies in pump performance could potentially be caused by pump inflow problems. This is especially common in wells producing viscous fluids under low submergence conditions. When operating at a speed that exceeds the rate at which the fluid can flow into and up the narrow pump cavities, pump efficiency significantly declines.

Investigation

EnerGPT suggests a few things to try to find and fix the problems across the field.

To investigate and rectify these performance variations, several measures can be taken:

Analyze well inflow: Evaluate the well inflow conditions by monitoring bottomhole pressures and pump inflow constraints. Lower bottomhole pressures and pump inflow limitations can contribute to a decline in pump efficiency. Identify any changes in gas interference and reduced well inflow over time that may be affecting pump performance.
Evaluate fluid properties: Consider the highly viscous nature of the fluids being produced and its impact on pump performance. Assess the fluid properties such as viscosity and flow rate to determine if they are within the operating limits of the pump.
Review pump speed: Determine if the pump is being operated at a speed that exceeds the flow velocity of the narrow pump cavities. If so, reducing the pump speed to match the flow rate of the fluid can improve efficiency.
Consider pump type: Evaluate the type of pump being used and its suitability for handling highly viscous fluids. Certain pump types, such as progressive cavity pumps (PC pumps), are better suited for viscous fluid applications.
Investigate well site conditions: Despite similar geological and operational conditions, there may be site-specific factors affecting pump performance. Assess factors such as fluid composition, presence of contaminants, wellbore restrictions, and any changes in reservoir conditions that may impact performance.
Conduct maintenance checks: Ensure that routine maintenance checks are being conducted effectively. Inspect for wear and tear, clogging, and other issues that may affect pump performance. Consider the need for pump replacements if necessary.

Conclusion

EnerGPT's response to this real-world scenario is multi-faceted and insightful, demonstrating its ability to provide comprehensive and actionable recommendations. By focusing on potential causes and systematic investigation and rectification measures, EnerGPT guides the operations team toward a solution, saving time, and resources, and potentially avoiding significant operating losses.

From understanding the implications of fluid properties and pump speeds to evaluating the appropriateness of pump types and ensuring the effectiveness of maintenance checks, EnerGPT's guidance demonstrates the transformative potential of AI in oil and gas operations. You can always ask followup questions too, if you want more information on a step it suggests.

When something goes wrong, ask EnerGPT.