
Join the oil reservoir simulation training to build a dynamic model from initialization and history matching to forecast, including water injection scenarios, using Excel inputs, completion data, and rescue files.
Set up the project in petrol using excel, import dot four production data, and input rock and j-function properties; perform history matching and waterflood scenarios, then forecast production to 2021.
Import the rescue file into a new Petrel project, set field UTM units, and inspect wells, MDG and porosity distributions, plus permeability, saturation number, and Bo in 3d view.
import completion data in petrol, create casing for all wells, and verify perforations in the well section with porosity and permeability color scales.
Create a .vol data file by converting Excel data to the dot file format, defining date components and oil, water, and BHP fields, and import into Petrel for oil visualization.
Input and configure relative permeability and J function tables in petrol, building gas–oil and water–oil curves, and set rock physics parameters for consolidated sandstone with J function.
Import the PVT table into Petrel, configure gas-oil and water contacts, set bubble point pressure and reference conditions, and tailor fluid properties for the reservoir simulation.
Import data and apply a preset history strategy in the engineering tab. Adjust dates, set annual reporting, and enable liquid history to match oil and water production for history matching.
Create a new history matching case, import permeability and porosity, and set rock physics inputs to reference the original oil in place.
Describe building a bottom-up aquifer model in Petrel RE, setting aquifer parameters, creating surfaces, and running case exports to match bottomhole pressure and liquid rate against data.
Perform history matching by adjusting aquifer thickness and oil production parameters to align oil rate, liquid production, water cut, and bottomhole pressure with observed data using Petrel RE simulations.
Forecast production with a no further activity case in petrel, using end-history-match restart cases and presets. Compare group rate control and well-by-well liquid rate control for 20 wells to 2045.
Define oil in place and mobile oil in place under reservoir conditions with residual oil saturation. Review oil-in-place maps, soy map, and the simulation opportunity index for infill-well planning.
Learn to create an oil in place map in Petrel RE from a production forecast, converting to 3d grid properties and computing moip and api to guide infill wells.
Place infill wells using a soy map in 3d and 2d views, verify distances from existing wells, and configure automated templates for four planned infill wells with casing and perforation.
Develop an infill strategy by configuring an infill case under NFA two, assigning liquid-rate and well-rate constraints to infill wells, and comparing infill scenarios to optimize oil and liquid production.
Convert existing wells to injectors and add infill wells to enable displacement and pressure maintenance injections, then implement waterflood strategies to increase oil recovery in the reservoir.
Learn to place new water injection wells to boost oil production and maintain reservoir pressure. Compare infill vs new injection wells, completions, and a WF2 strategy.
Visualize the HPV map after water injection in 3d and 2d views. Compare injector and producer wells, analyze oil and water saturation, and observe pressure changes to gauge recovery.
Compare reservoir cases by building a comparison folder, setting an objective function for recovery factor, and analyzing cumulative oil and oil in place to illustrate water injection's impact on recovery.
This course provides a comprehensive, hands-on approach to oil reservoir simulation using the black oil model. Participants will learn the essential steps to build, calibrate, and optimize reservoir models for accurate production forecasting and field development planning. The course covers the entire workflow, from data import and model setup to history matching, infill well placement, and case comparison.
Key Learning Objectives:
Import and prepare reservoir data, including completion and production data.
Construct and validate reservoir models using .vol files and input tables (relative permeability, PVT, etc.).
Perform history matching to align the model with observed production data.
Estimate Original Oil in Place (OOIP) and analyze reservoir performance.
Design and evaluate aquifer models (bottom-up and edge aquifers).
Generate opportunity maps for infill drilling and optimize well placement.
Simulate and compare different development scenarios, including infill wells and injector conversions.
Visualize reservoir dynamics using HCPV maps and streamlines.
Conduct case comparisons to assess economic and production outcomes.
Who Should Attend:
Reservoir engineers
Petroleum engineers
Geoscientists involved in reservoir modeling
Professionals seeking practical experience in black oil simulation
Course Outcome:
By the end of this course, participants will be proficient in applying black oil simulation techniques to real-world reservoir challenges, enabling them to make data-driven decisions for field development and enhanced oil recovery.