This PetroKnowledge Production Surveillance & Well Performance Diagnostics training course provides a structured approach to monitoring oil and gas wells, detecting production losses and diagnosing underperformance. Effective surveillance requires more than monitoring production rates. Engineers need reliable baselines, appropriate performance indicators and good-quality data to distinguish normal reservoir behaviour from emerging well, artificial-lift or production-system problems.
Participants will learn how to establish well-performance baselines, use meaningful surveillance indicators and interpret changes in production rate, pressure, temperature, water cut and gas behaviour. They will apply systematic diagnostic techniques to distinguish between reservoir, near-wellbore, completion, wellbore, artificial-lift and surface-system constraints. This training course concentrates on detecting and diagnosing performance problems before remedial solutions are selected, making it complementary to PetroKnowledge training courses in Production Engineering, Nodal Analysis, Well Production Enhancement, Artificial Lift and Well Intervention.
This Production Surveillance & Well Performance Diagnostics training course will highlight:
By the end of this Production Surveillance & Well Performance Diagnostics training course, participants will be able to:
This Production Surveillance & Well Performance Diagnostics training course is designed for professionals responsible for monitoring and improving the performance of producing oil and gas wells. It will be particularly valuable for:
This Production Surveillance & Well Performance Diagnostics training course uses a practical, diagnostic approach combining expert-led instruction, production-trend analysis, well-performance scenarios, data-quality reviews and root-cause exercises. Participants will work through surveillance cases that require them to identify abnormal behaviour, challenge questionable data and evaluate competing diagnostic hypotheses. Well-test information, production-log results and model outputs will be used as supporting evidence. Exception-based surveillance and AI-assisted alerts will also be examined, with emphasis on engineering validation rather than automated decision-making.
Organisations will benefit from:
By attending this Production Surveillance & Well Performance Diagnostics training course, participants will develop the ability to:
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
Production surveillance is the systematic monitoring of producing wells to identify changes in performance, production losses and emerging operating problems. Production Engineers compare actual well behaviour against expected performance using production rates, pressures, temperatures, fluid trends and other surveillance information to determine which wells require further investigation.
Well performance diagnostics is the process of determining why an oil or gas well is producing differently from expectation. It combines production data, operating conditions and supporting engineering evidence to distinguish between reservoir limitations, near-wellbore damage, completion restrictions, artificial-lift problems, wellbore constraints and surface-system effects. The objective is to identify the probable cause before selecting a corrective action.
Well underperformance can result from reservoir-pressure decline, formation damage, changing water cut or gas-oil ratio, scale or deposits, sand production, completion restrictions, tubing or wellbore problems, artificial-lift deterioration, liquid loading in gas wells or increasing surface backpressure. The Production Surveillance & Well Performance Diagnostics training course teaches a structured diagnostic process rather than assuming that every production decline has the same cause.
The first step is to establish what the well should reasonably be producing under its current reservoir and operating conditions. Engineers then compare expected and actual performance using historical trends, pressures, rates, fluid behaviour and available well-performance models. A deviation that cannot be explained by expected reservoir decline may indicate near-wellbore, completion, artificial-lift or production-system constraints requiring further investigation.
Well-test and production-log results are used as supporting diagnostic information, but the training course does not duplicate specialist Well Testing or Production Logging training courses. Participants learn when these diagnostic techniques may be required, what engineering questions they can help answer and how their findings contribute to a broader well-performance diagnosis. Detailed pressure-transient analysis and detailed PLT interpretation remain within specialist PetroKnowledge training courses.
Yes. The training course teaches participants how to recognise performance indicators that may suggest deterioration in gas lift, ESP or rod-lift systems. The focus is surveillance and diagnosis rather than detailed artificial-lift design. Specialist PetroKnowledge training courses in Gas Lift, Electric Submersible Pumps and Rod Lift provide deeper equipment design, operation, optimisation and troubleshooting knowledge.
Yes. The diagnostic principles apply to both producing oil and gas wells. Oil-well examples may include declining productivity, increasing water cut, gas breakthrough, artificial-lift deterioration, sand or scale. Gas-well examples may include declining deliverability, liquid loading, unstable production, increasing backpressure and changes in well-performance behaviour.
The training course is particularly suitable for Production Engineers, Well Performance Engineers, Production Technologists, Production Surveillance Engineers, Production Optimisation Engineers, Petroleum Engineers, Artificial Lift Engineers, Field Production Engineers, Production Operations Engineers, WRFM Engineers, Asset Engineers, Reservoir Engineers, Well Intervention Engineers, Production Data Analysts and Production Supervisors. It is especially relevant to professionals who participate in daily or weekly well-performance reviews and are responsible for identifying underperforming wells.
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