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Basic Reservoir Management

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Self-paced Beginner

Basic Reservoir Management

4(11)
2 enrolled
1188 views
FREE
69 min
Anytime
English
1188 views
Mohammad Al Jawhar
Mohammad Al JawharAsset Integrity/ Sr Petroleum Engineer
  • Lifetime access
  • Certificate of completion
  • Foundational Learning
  • Access to Study Materials

Why enroll

Participants join the Basic Reservoir Management Course to gain a foundational understanding of reservoir management, from team collaboration to effective oilfield development. This course provides essential knowledge on oil recovery techniques, reservoir and production monitoring, and enhanced oil recovery (EOR), equipping participants to make informed decisions that maximize reservoir performance. With practical insights and industry-recognized certification, this course enhances participants' ability to optimize production, forecast outputs, and contribute effectively to reservoir management teams.

What enrolled engineers say

2 verified reviews
  • Feb 25, 2026

    Initially, I wasn’t sure what to expect from this course. Coming from day-to-day production support, reservoir management always felt a bit abstract. The course did a decent job breaking it down, especially around reservoir drive mechanisms and basic material balance concepts. Those topics helped connect why some of our wells are pressure-depleting faster than expected instead of just blaming surface issues. One challenge was wrapping my head around predicting future performance with limited data. The sections on decline curve analysis made sense conceptually, but applying them when the production history is noisy took some effort. Still, seeing how assumptions affect forecasts was useful. A practical takeaway was learning how simple reservoir surveillance can actually prevent unnecessary infill drilling. After the course, a basic review of production trends and pressure data on one of our oil reservoirs helped justify holding off on an extra well and focusing on optimizing existing completions instead. That alone filled a knowledge gap between reservoir theory and what operations actually need. The material stayed grounded in real field decisions, including facility constraints and economics, which made it relevant for a beginner. The content felt aligned with practical engineering demands.

    ETHIGASH V. · Production Trainee Verified
  • Feb 25, 2026

    This course turned out to be more technical than I anticipated. For a beginner-level class, it went beyond definitions and actually walked through how reservoir management decisions tie back to economics. The sections on material balance and decline curve analysis helped close a gap I’ve had since moving from operations into more planning-focused work. Seeing how production trends are used to infer reservoir drive mechanisms was especially relevant to a tight oil project I’m currently supporting. One challenge was keeping up with the assumptions behind some of the forecasts, particularly when data quality is poor. Translating textbook reservoir characterization into messy, real field data isn’t trivial, and that disconnect showed up during the prediction exercises. Still, it forced me to think more critically about uncertainty instead of just accepting software outputs. A practical takeaway was the simple surveillance workflow for tracking reservoir performance over time. Applying basic material balance checks and pairing them with decline analysis is something I’ve already started using in monthly reviews to flag wells that need intervention. The course also clarified when additional drilling actually adds value versus just increasing complexity. I can see this being useful in long-term project work.

    sarath S. · Offshore Construction Engineer Verified

Is this course for you?

You should take this if

  • You work in Oil & Gas Upstream
  • You're a Petroleum Technology professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Petroleum Technology
  • You need live interaction with an instructor

Course details

Reservoir Management’s Prime Objective, the economic optimization of oil and gas recovery:

– Identifying and defining all individual reservoirs in a particular field and their physical properties

– Deducing past and predict future reservoir performance

– Minimizing drilling of unnecessary wells

– Defining and modifying, as required, wellbore and surface facilities

– Initiating operating controls at the proper time

– Considering all pertinent economic, environmental and legal factors

Course suitable for

Key topics covered

Definition of Reservoir Management

Reservoir Management Team

Oilfield Development

Oil Recovery Techniques?

Reservoir Monitoring Techniques

Production Monitoring & Forecasting

EOR

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

1 lectures1 hr 9 min
  1. Basic reservoir Management
    69 min

Opportunities that await you!

Career opportunities

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

sarath Selvaraj
sarath Selvaraj Offshore Construction Engineer
Feb 25, 2026

Coming into this course, I had some prior exposure to the subject from pipeline integrity work and offshore tiebacks. The material went deeper than expected on CO₂ corrosion and H₂S sour service, especially how water chemistry and partial pressure swing the dominant mechanism. The discussion on pitting versus general wall loss lined up well with what’s typically seen in carbon steel flowlines, but it was useful to see the electrochemical side spelled out rather than just relying on rules of thumb. One challenge was keeping all the mitigation options straight at a system level. In the field, cathodic protection, coatings, and chemical inhibition are often treated independently, while the course tried to show how they interact. That took a bit of mental rewiring, particularly for mixed-metal systems where galvanic corrosion shows up as an edge case during brownfield modifications. The sections on corrosion monitoring were practical. Comparing corrosion coupons with ultrasonic testing helped clarify when each makes sense, and why relying on a single data source can be misleading. A concrete takeaway is being more deliberate about aligning inspection intervals with actual corrosion rates instead of fixed schedules. That’s closer to best practice than what still happens on many assets. I can see this being useful in long-term project work.

sarath Selvaraj
sarath Selvaraj Offshore Construction Engineer
Feb 25, 2026

Coming into this course, I had some prior exposure to the subject through day‑to‑day production support, but a lot of it was fragmented. The modules on nodal analysis and artificial lift selection helped connect the dots, especially when comparing ESP performance versus gas lift under changing water cut. Flow assurance topics like pressure losses and liquid loading were also more relevant than expected, since those issues show up quietly in mature wells. One challenge was keeping up with the data-driven optimization sections. Working through production data and interpreting trends took more time than planned, and it exposed a gap in how I normally rely on surface rates without digging deeper into inflow performance. Still, pushing through that was worth it. A practical takeaway was learning a structured workflow to diagnose underperforming wells before jumping to workovers. That approach was applied almost immediately on a current field project to justify a choke change instead of an expensive lift modification. The course felt grounded in real operating constraints rather than theory-only discussions. I can see this being useful in long-term project work.

sarath Selvaraj
sarath Selvaraj Offshore Construction Engineer
Feb 25, 2026

This course turned out to be more technical than I anticipated. For a beginner-level class, it went beyond definitions and actually walked through how reservoir management decisions tie back to economics. The sections on material balance and decline curve analysis helped close a gap I’ve had since moving from operations into more planning-focused work. Seeing how production trends are used to infer reservoir drive mechanisms was especially relevant to a tight oil project I’m currently supporting. One challenge was keeping up with the assumptions behind some of the forecasts, particularly when data quality is poor. Translating textbook reservoir characterization into messy, real field data isn’t trivial, and that disconnect showed up during the prediction exercises. Still, it forced me to think more critically about uncertainty instead of just accepting software outputs. A practical takeaway was the simple surveillance workflow for tracking reservoir performance over time. Applying basic material balance checks and pairing them with decline analysis is something I’ve already started using in monthly reviews to flag wells that need intervention. The course also clarified when additional drilling actually adds value versus just increasing complexity. I can see this being useful in long-term project work.

sarath Selvaraj
sarath Selvaraj Offshore Construction Engineer
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. Having worked around well intervention for years, there was a risk it would stay at a surface level. Instead, it went deeper into the mechanics behind common choices, especially around wireline vs. coiled tubing interventions and how those decisions tie back to reservoir health. One area that stood out was the discussion on well kill fluids and formation damage. In day‑to‑day operations, industry practice often defaults to “safe” overbalanced kills, but the course highlighted edge cases where that approach quietly erodes productivity, particularly in depleted or marginal oil and gas wells. That system‑level view, linking intervention planning to long‑term production rather than just execution, felt realistic. A real challenge was reconciling the best‑practice frameworks with brownfield wells that have poor documentation and legacy completions. The course didn’t fully solve that, but it at least acknowledged the gap and provided ways to reason through it. One practical takeaway was a more structured pre‑job checklist focused on minimizing solids invasion and unnecessary pressure cycling. That alone should reduce rework and deferred production. I can see this being useful in long‑term project work.

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Questions and Answers

A: Option A walks the full chain: 640 acres × 50 ft gives 32,000 acre-ft. Multiply by porosity and So, convert acre-ft to reservoir barrels, then divide by Bo to get stock tank barrels. Option B sounds tempting because porosity feels like a volumetric shrinkage term, but Bo never cancels; dropping it inflates reserves. Option C undercuts itself by swapping net for gross pay; that’s conservative language masking a unit mistake. Option D flips Bo the wrong way around, a classic phase-basis error that quietly overstates OOIP.

A: Option A ties the symptoms together: stable BHP with early water points to near-wellbore vertical communication and coning driven by drawdown. Option B explains water, but edge-water usually shows pressure support and a slower ramp. Option C fits decline but not the rapid water cut shift. Option D happens in the field, but it doesn’t create true water production; it just distorts measured rates.

A: Option A runs the back-of-envelope: fractional depletion of 5% per year divided by total compressibility lands in the few‑tens of psi range. Option B drops rock and water compressibility, a common shortcut that breaks at reservoir scale. Option C feels safe but throws away most of the storage term, overshooting badly. Option D ignores how stiff oil-rock systems actually are; small fractional withdrawals still move pressure.

A: Option A follows Archie as written: Sw^n = (a·Rw)/(Rt·φ^m). Option B is the trap of linear intuition; Archie is exponential for a reason. Option C sneaks in default exponents that don’t match the stated rock. Option D reads the log qualitatively and skips the math, which is how saturation errors creep into models.