
Shoreline’s plug-and-play asset performance management delivers breakthrough simplicity and cost efficiencies. Completely self-installed by non-experts, smart sensors automatically connect to the cloud and are auto-provisioned via a rich library of 30,000+ pre-built asset physics models.

A leading Texas-based independent operator (“The Operator”) utilizing W300 and W200 series multiplex pumps
for Hydraulic Jet Pump artificial lift faced recurring reliability challenges. The critical nature of these surface pumps where a single failure halts production for entire well pads—demanded a shift from route-based data collection to continuous, high-frequency monitoring.
By deploying Shoreline’s AI powered physics-based predictive maintenance solution, the Operator successfully detected and resolved complex failure modes including thermal misalignment, hydraulic-to-mechanical excitation, and structural resonance. The program prevented catastrophic failures on multiple assets, protecting an estimated $50,000 to $184,000 per avoided event in combined revenue retention and hardware costs.
The Client operates a high-volume production field in Texas. The artificial lift method relies on Hydraulic Jet Pump systems, where reliability centers on the performance of the Surface Power Fluid Pumps.
300 HP Quintuplex (5-plunger) and 200 HP Triplex (3-plunger) reciprocating pumps,.
These pumps inject high-pressure power fluid downhole to actuate the jet pump venturi.
These units are Production Critical. If the surface pump stops, the downhole physics of the jet pump cease immediately, resulting in 100% loss of production for the associated wells.
The Client operates a high-volume production field in Texas. The artificial lift method relies on Hydraulic Jet Pump systems, where reliability centers on the performance of the Surface Power Fluid Pumps.
Vibration levels followed a "day-night temperature cyclic pattern," exacerbating thermal growth issues.
Vibration levels followed a "day-night temperature cyclic pattern," exacerbating thermal growth issues.
Vibration levels followed a "day-night temperature cyclic pattern," exacerbating thermal growth issues.
Shoreline’s predictive maintenance platform utilized spectrum analysis (Velocity and Acceleration), Time Waveform (TWF) analysis, and high-frequency buffering to isolate specific faults.
Asset : Reciprocating Pump Unit (W300 Quintuplex)
Status: Critical Alarm (Motor DE TVE up to 1.69 ips pk, Motor NDE TVE up to 1.47 ips pk)
TVE at Motor DE & NDE shows a fluctuating, but rising trend over time. Motor DE increased from 0.99 ips @ 1636 RPM to 1.34 ips @ 1493 RPM. Motor NDE increased from 0.83 ips to 1.13 ips during the same monitoring period.
FFT spectrum on Motor DE bearing shows predominant increase at Motor 1X, with secondary increase at 2.29X (2X plunger pass frequency), indicating mechanical influence with process interaction.
Cylinder vibration levels also show deviation in TVE. FFT spectrum at Cylinder location indicates predominant increase at Plunger Pass frequency (1.13X) and its harmonics, suggesting loading-related excitation


Result: TVE trend stabilized after corrective measures, preventing further escalation beyond alarm limits and restoring stable operating condition.
Asset : Reciprocating Pump Unit (W300 Quintuplex)
Status: Step Change Post-Maintenance (Motor DE increased to 0.73 ips pk; Gearbox DE increased to 0.54 ips
After motor replacement, motor DE and gearbox DE were initially vibrating at ~0.39 ips pk. A sudden step change occurred, with TVE increasing to 0.73 ips pk at motor DE and 0.54 ips pk at gearbox DE.
Motor DE vibration shows increased axial 1X component, while gearbox spectrum shows increased Plunger Pass Frequency (PPF) and elevated vertical 1X vibration.
Gearbox spectrum indicates increased 1X of Gear Mesh Frequency (GMF ~34X), confirming excitation transmission into the gearbox.






Result: Post-correction, vibration levels stabilized below alarm thresholds, reducing axial and gearbox vibration amplification and restoring normal operating condition.
Asset : Reciprocating Pump Unit (W200 Triplex)
Status: High-Frequency Impacting (TVE increased up to 1.34 ips pk @ 1550 RPM)
TVE shows a significant increase at the gearbox bearing over the past two days, rising from ~0.75 ips pk to 1.34 ips pk.
Velocity spectrum shows the predominant frequency contributing to the TVE increase is 3.44 order (3X Plunger Pass Frequency) in the axial direction, indicating higher impact due to uneven process pulses or torque variation.
A noticeable rise is observed in high-frequency FFT acceleration spectrum around 1X GMF and 2X GMF. Acceleration values peaked from ~0.79 g to ~1.27 g, confirming elevated gearbox energy and impacting behavior.
Surface temperature fluctuations (120°F to 98°F) indicate possible process or fluid condition variation influencing torque transmission into the gearbox.


Result: Post-inspection and corrective actions, high-frequency impacting was reduced, gearbox vibration stabilized below critical alarm levels, and torque-related excitation was controlled, restoring stable operating condition.
Asset : Reciprocating Pump Unit (W300)
Status: Persistent Motor Vibration (TVE up to 1.6 ips pk)
TVE values on motor DE and NDE are elevated at ~1.6 ips pk, with few instances dropping below 1.0 ips pk. Multiple events show vibration fluctuating between 0.6 ips and above 1.3 ips pk across varying operating speeds.
Vibration is predominantly unidirectional in the horizontal direction, with dominant energy at 1X motor speed. RPM relation does not show significant differences, indicating speed variation is not the primary driver
Limited change observed in high-frequency data, mostly 2X VFD frequency and VFD-related noise. Acceleration spectrum shows peaks up to ~1.81 G, confirming elevated structural response rather than internal rotating fault.
Operating vibration pattern suggests possible proximity to structural Natural Frequency (NF), requiring verification of support structure adequacy relative to motor and gearbox loading.


Result: Post structural verification and corrective actions, vibration levels were stabilized, reducing resonance risk and restoring normal operating condition.
The Return on Investment (ROI) for this monitoring program is derived by comparing the cost of the monitoring service against the avoided costs of downtime and catastrophic equipment failure.
Cost of Failure (Per Event): Based on the operational profile of 300 HP pumps in the Texas region:
Downtime Revenue Loss: These pumps often support multi-well pads.
Hard Repair Costs: Replacing a burned-out 300 HP motor (due to unchecked misalignment) or a seized gearbox involves crane rentals, labor, and capital equipment.
In Scenario A (Unit A-2), the system detected a severe 0.16″ misalignment. Had this run to failure, it would likely have destroyed the motor bearings and coupling.
Cost Component
Lost Production Revenue
Emergency Motor Replacement
Cost Component
$36,000 – $144,000
$15,000 – $40,000
Total Avoided Cost
By identifying the issue early, the Client scheduled a planned realignment (costing minimal labor hours) rather than suffering a catastrophic unplanned outage.
Through the implementation of Shoreline AI’s Predictive Maintenance Platform, the Client transformed their maintenance strategy from reactive to predictive leading to huge savings in operation and maintenance costs, improving overall efficiency of the assets and meeting uninterrupted production goals
Shoreline AI’s plug-and-play asset performance management delivers breakthrough simplicity and cost efficiencies. Completely self-installed by non-experts, smart sensors automatically connect to the cloud and are auto-provisioned via a rich library of 30,000+ pre-built asset physics models.
This cloud-native approach requires no new CapEx, on-site experts or data scientists, operationalizing in days and delivering powerful machine-specific analytics. This highly secure, 100% subscription approach creates unprecedented industrial APM economics and scales easily for new applications such as emissions monitoring.
Shoreline AI helps clients in asset-intensive industries maximize the performance and profitability of their operations, create a proactive and predictive approach to asset management, and accelerate sustainability initiatives. The company’s solutions are designed for machinery serving the energy, manufacturing, pharma and data-center cooling industries.
Shoreline AI, 1671 Dell Ave, Suite 208, Campbell, CA 95008
info@shorelineai.us
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