Reservoir Management & Monitoring
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Reservoir management is the discipline that connects everything else. Individual studies, log interpretation, well tests, simulation runs, laboratory reports, only create value when they feed into a coherent plan for how a field is developed, operated and monitored over its life. Fields underperform far more often because of poor integration and weak surveillance than because of any single technical error.
This workshop covers the reservoir management cycle as it is practised on producing assets. It begins with oilfield development and data management: what data needs to be collected, how it is validated and stored, and how data quality affects every decision taken downstream. Formation evaluation and reservoir characterisation follow, covering the integration of petrophysical, core, geological and engineering data into a consistent reservoir description.
The workshop then addresses reserves estimation across the available methods, volumetric, decline curve analysis, material balance and simulation, including the conditions under which each is reliable, how the results should be reconciled, and the classification and reporting framework used for reserves.
Well testing is treated from the reservoir management perspective: what information a well test contributes to the field picture, how test results are used to update the reservoir description, and how a testing programme should be planned across an asset rather than well by well.
The final section covers waterflood management and surveillance. This includes the design of a surveillance plan, the routine data that should be collected, the diagnostic plots and monitoring tools used to judge performance, and the process for identifying underperformance and defining corrective action, whether that is infill drilling, recompletion, workover, water shut-off or stimulation.
The workshop is delivered at an advanced level and is intended for reservoir engineers, production engineers and asset team members responsible for field performance.
Workshop Objectives
By the end of this workshop, participants will be able to:
Describe the reservoir management cycle and the role of each discipline within an integrated asset team
Define the data requirements for effective field development and apply data management and quality control standards
Integrate petrophysical, core, geological and production data into a consistent reservoir characterisation
Apply volumetric, decline curve, material balance and simulation methods for reserves estimation and reconcile the results
Classify and report reserves in line with recognised industry guidelines
Plan a well testing programme at asset level and apply test results to update the reservoir description
Design and implement a reservoir surveillance plan, including pressure surveys, production logging and well testing
Manage a waterflood using voidage replacement, injection allocation and injected water quality control
Apply standard diagnostic plots and monitoring tools to evaluate reservoir and well performance
Identify underperforming wells and reservoir zones and recommend appropriate remedial action, including infill drilling, recompletion, workover, water shut-off and stimulation
Track field performance against the development plan and revise the plan as new data becomes available
About the Presenter
Eng. Hesham Mokhtar Ali
Senior Reservoir Engineer | Certified Instructor | MSc, Cairo University
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Excel in Production Engineering
Most production engineering calculations don't need expensive software — they need Excel used well. This live 2-hour beginner workshop shows you how to build the core tools of well performance analysis directly in a spreadsheet. You'll create working models for inflow performance, nodal analysis, and decline curves from scratch, using nothing but Microsoft Excel — so you understand what's happening under the hood instead of treating commercial software as a black box.