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Modeling Underperforming or Orphaned Wells to Promote ...
Transcript of Modeling Underperforming or Orphaned Wells to Promote ...
Modeling Underperforming or
Orphan Wells to Promote
Candidacy for Enhanced Oil
RecoveryDr. Stacey Lyle, Jacob Maggard, and James Walker
2 Part Solution
Part 1: Practicum Research
Part 2: GIS Modeling
Part 1: Practicum Research
Initial Research Question
Can we use GIS to locate an area that might benefit from low salinity Enhanced
Oil Recovery (EOR) methods to increase productivity?
● Spraberry Dean Fields in Borden County, Texas
○ Jo-Mills Sand inside the Spraberry formation has coarse feldspathic sands which is a
good indicator for positive EOR implementation
● Production began in 1954 and many wells are producing to this day
● Data for over 2000 wells in Borden and surrounding counties
Part 1: Why? J. Walker
Data● The data used came from the Texas Railroad Commission and IHS Enerdeq
● Used both sources to create a geodatabase with the following data
○ Well location (Lat, Long)
○ API Number (Primary Key)
○ Dates
○ Cumulative oil by well
○ Cumulative gas by well
○ Cumulative water by well
○ Producing Formations
○ Total Vertical Depth
○ Lower Perforation
○ Upper Perforation
Part 1: Data J. Walker
Formation Tops in AOI
Part 1: Background J. Walker
Type Log for AOI
● Log shows the upper Spraberry and Lower Spraberry
○ Highlighted Jo-Mill Sand and a potential bench
Potential area for production.
Part 1: Background J. Walker
Methods
1. Create Virtual Server with SQL Database using Microsoft SQL Server
2. Loaded production data to narrow the area of interest
3. Use ArcMap to create cumulative production maps
4. Use Power BI to perform statistical analysis of the data
5. Use PHDWin to calculate EUR (Estimated Ultimate Recovery) for Horizontals in Jo-
Mills sands
6. Determine which areas may benefit from low salinity EOR in the Spraberry
formation
Part 1: Methods J. Walker
Remote Server with SQL Geodatabase
Part 1: Results J. Walker
All Production Maps
Part 1: Results J. Walker
Spraberry Production maps
Part 1: Results J. Walker
Part 1: Results J. Walker
Using Power BI for Analysis
EUR (Estimated Ultimate Recovery) for Vintage
Horizontals in the Area
● Oil EUR: 185.99 MBO
● Gas EUR: 109.68 MMCF
Part 1: Results J. Walker
EOR Potential
● Production hasn’t peaked since 1980, when vintage EOR methods were less effective
than modern EOR methods
● Geologic makeup of the Jo-Mills sands (coarse feldspathic) is porous and permeable
● Practical for both active and inactive wells
● The use of low salinity water makes EOR more effective than the use of fresh water or
regular brine water
Low salinity EOR would likely increase production but whether or not it is economical is a
different question
Part 1: Discussion J. Walker
Part 2: GeoDB Connections
Most Desirable: User Driven Decisions
● Users Driven Decisions:
○ Models
○ Tools
■ Databases
■ WebGIS
■ Business Intelligence
● Orphan Wells and Underperforming
Part 2: Why? S. Lyle
GeoDB
Part 2: Methods S. Lyle
MSSQL
PowerBI
ArcGIS Pro
● ETL
○ Loading
○ Cleaning
○ Analysis
○ Writing
○ Sharing
Models: MSSQL or Automated
Part 2: Results S. Lyle
● Shared
● Automated
Visualization: PowerBI & WebGIS
● Shared
● Automated
Part 2: Discussion S. Lyle
Discussion: GeoServices and GeoInnovations
Group Projects
Learning Module
Real World Problems
Shared Solutions
Group: Discussion S. Lyle
Questions