Objectives:

• Explain the principles of reservoir fluid composition, properties, and modeling. 

• Explain the principle and limitations of the material balance method and the influence of drive mechanisms on the recovery factor

• Build a material balance model for a new oil field development

• Evaluate the range of possible inflow and outflow performance relationships for wells. 

• Applying the nodal analysis to predict well performance and the effect of artificial lift

• Build, validate, and match a naturally flowing oil well model

• Apply and interpret more complex inflow modeling options

• Run nodal analysis sensitivities, interpret the results, and export lift curves.

• Perform history matching and run production forecasts

• Run a full field model with production forecasting including producers and injectors 

• Analyze and optimize the surface production and injection networks

• Demonstrate proficiency in the use of production optimization and modeling software

This training course is intended for petroleum engineers, field engineers, reservoir engineers, and professionals dealing with the optimization of oil production.

The program will be conducted in an interactive and practical method. There will be daily individual exercises and everyone will get an opportunity to discuss their issues with the software or with the concept itself.

Pre & Post course assessments will be used to measure the effectiveness of this training.

Course Agenda

Day 1  

• Reservoir fluid and rock systems

• Integrated production system

• Field development stages

• Overall system approach 

• Methodology of pressure loss in the wellbore 

• Importance of PVT data for integrated production system analysis 

• Inflow performance models 

Day 2 

• Reservoir to surface integrated modeling and optimization

• Material balance Theory and applications  

• Material balance for oil reservoirs

• Material balance for oil reservoirs (solving for oil in place and aquifer size)

• Summary of drive mechanisms as applied to material balance

• Linear form of MBE (Havlena & Odeh approach)

• Straight-line analysis techniques

• Analytical and graphical tools 

• Drive indices and energy plots

• Dake & Campbell diagnostic plots, their applications

• Using material balance models for prediction

• Analytical aquifer models – concepts

• History matching techniques (analytical and graphical)

Day 3  

Material balance model:

PVT data and tank parameters

Aquifer models and rel-perms

Water influx models

Production and reservoir history

Prediction of reservoir performance

• STOOIP calculation using Monte Carlo

• Decline curve analysis - history matching and prediction

• Waterflood analysis with Buckley Leverett 1D model

• Simulation & Running a prediction

Day 4 

• Building a wellbore model 

• VLP flow correlations theory

• Matching PVT and flow correlations

• Nodal analysis

• Define IPR model

• Defining and matching well testing data

• Flow regimes of the vertical and horizontal pipes

• Defining and matching the VLP model

• Running sensitivities

• Generation of lift curves   

 Day 5  

• Importing VLPs and IPRs 

• Defining constraints  

• Multi‐tank and multi‐PVT  

• Field development example  

• Well development schedule top meet target production profile 

• Well inflow models of horizontal, vertical, deviated, multilayer and multilateral geometries

Day 6

• Nodal Analysis calculations 

• Re-perforation studies, analysis of skin, the application of sand control

• Sensitivity analysis and prediction

• Multiphase pressure drop models

• Assessing the productivity of oil, gas and condensate wells 

• Flow assurance studies

• Hydraulic investigations can be conducted on flow regimes, erosional velocities, superficial velocities, and slug catcher sizing

• Thermodynamic calculations can include studies on hydrate formation, waxing, and salt precipitation

• Hydrate and scale inhibition

Day 7

• Multiphase network modeling and optimization

• Integrated analysis for production and injection networks

• Field development planning, testing various strategies, and forecasting

• Prediction using a fixed oil rate

• Prediction using a well model

• Building a new oil reservoir model - optimizing the production profile

Day 8

• Full field development planning

• Assigning production constrains

• Solving for the entire production network

• Defining rule-based constrains

• Case studies and field examples