Well & Production Surveillance
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Well & Production Surveillance - PE-WPS-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| PE-WPS-PEA27 | 12 - 16 Apr 2027 | 10 AM CST | 4 Hours Per Day |
Online |
USD |
3000 |
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Well & Production Surveillance
Description
Surveillance is how an operator knows what its wells are doing. Rates, pressures, temperatures, water cut, gas-oil ratio, lift parameters and chemical residuals are gathered, validated and compared with expectation, and departures are investigated. Done well, it finds problems while they are cheap to fix and identifies opportunities that would otherwise be missed. Done badly, it produces reports nobody reads.
This course covers the whole surveillance cycle. It starts with objectives and the data sources available, then covers well testing and rate validation, pressure and temperature monitoring from gauges and surveys, and artificial lift surveillance for each lift type. It then covers analysis: diagnostic plots, decline and trend analysis, water and gas breakthrough signatures, and the identification of integrity and flow assurance problems from routine data. The final part covers exception-based surveillance and alarm design, well review meetings, data quality management and the process that turns a surveillance finding into a completed action.
A well tells you what is happening to it through a handful of measurements. Rate and pressure together give productivity; water cut and gas-oil ratio trends show what the reservoir is doing; wellhead temperature shows where fluid is coming from and can indicate leaks; lift parameters show equipment condition. None of this is complicated, but it requires that the measurements be trustworthy and that somebody looks at them regularly.
Data quality is the usual weak point. Well tests that were never validated, meters out of calibration, gauges that drifted, allocation that spreads error across wells and manual readings taken at different times of day all produce data that looks precise and is not. Surveillance built on bad data reaches confident wrong conclusions, so validation comes before analysis.
The second weak point is action. Many organisations gather and report surveillance data faithfully and then do nothing with it. Exception-based surveillance, where attention goes only to wells outside expected limits, makes the workload manageable. A well review process with owners and deadlines turns findings into completed work. Without those, surveillance becomes a reporting exercise rather than a production tool.
By the end of this training, participants will be able to:
- Define surveillance objectives and the data required to meet them.
- Validate well test data and reconcile it with allocation and metering.
- Monitor and interpret pressure and temperature data from gauges and surveys.
- Carry out artificial lift surveillance for the main lift types.
- Apply diagnostic plots and trend analysis to well and field data.
- Recognise water and gas breakthrough, liquid loading and flow assurance signatures.
- Identify integrity indicators in routine production data.
- Design exception-based surveillance, limits and alarms.
- Run well review meetings and manage actions to closure.
- Manage surveillance data quality and reporting
Organisations sending participants to this training will:
- Detect well problems earlier and reduce deferment.
- Improve the reliability of production and reservoir data.
- Focus engineering attention on the wells that need it.
- Turn surveillance findings into completed actions.
- Support reservoir management with better producing well data.
Participants will:
- Be able to build and run a surveillance programme.
- Be able to validate production data before using it.
- Be able to diagnose well problems from routine data.
- Be able to design exception reports and alarm limits.
- Be able to run a well review and drive actions to closure.
- Production engineers
- Well surveillance and optimisation engineers
- Production technologists
- Reservoir engineers working with producing wells
- Operations engineers and supervisors
- Data and production reporting staff
Module 1: Surveillance Objectives and Data
- What surveillance is for
- Data sources: tests, meters, gauges, logs and field readings
- Frequency and coverage
- Surveillance plans by well type
Module 2: Well Testing and Rate Validation
- Test separators and portable testing
- Test duration, stabilisation and quality criteria
- Validating test results
- Reconciling tests with allocation
- Test frequency and coverage
Module 3: Pressure and Temperature Monitoring
- Wellhead and downhole pressure data
- Permanent gauges and surveys
- Static and flowing gradient surveys
- Temperature data and what it reveals
- Data drift and calibration
Module 4: Artificial Lift Surveillance
- Rod pump card data
- ESP current, pressure and temperature data
- Gas lift injection and gradient data
- PCP torque and load data
- Plunger lift cycle records
Module 5: Diagnostic Analysis
- Productivity index trends
- Water cut and gas-oil ratio trends
- Decline analysis for surveillance
- Diagnostic plots for breakthrough and loading
- Comparing wells across a field
Module 6: Recognising Specific Problems
- Water and gas breakthrough
- Liquid loading in gas wells
- Scale, wax and hydrate signatures
- Sand production indicators
- Integrity indicators in production data
Module 7: Exception-Based Surveillance
- Setting expected values and limits
- Exception reports and dashboards
- Alarm design and alarm fatigue
- Prioritising exceptions by value
Module 8: Well Reviews and Action Management
- Well review structure and frequency
- Preparing review packs
- Assigning and tracking actions
- Linking reviews to intervention planning
Module 9: Data Quality and Reporting
- Sources of data error
- Validation and reconciliation practice
- Data systems and storage
- Reporting to operations, reservoir and management
- Auditing surveillance performance
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.