Optimizing Field Development and Predicting EUR Utilizing Geochemistry I and II

Interpolation techniques for building a continuous Surface (map) from discrete data
January 31, 2023
Low-Cost, High-Performance Geodetic Tools for Geomatics Applications
January 31, 2023
Faculty: Engineering
Department: Petroleum and Mining Engineering
Type of the workshop: International workshop

The workshop in brief: The workshop focused on using a data analytics approach in conjunction with a state-of-the-art geochemical drainage analysis, a new strategy for appraisal and development can be formulated and key areas identified with limited amounts of new drilling activity. Combining the geochemistry data which identifies the specific regions that are contributing with basic vertical logs from historical wells and applying multi-variant analysis techniques to those specific drained regions, it is possible to identify which variables lead to correlations to EUR (expected ultimate recovery).

Participants: 33 staff member, as well as 50 pre-graduate students from our department and from Soran and UK Universities.

Date and time: October 20th, 2022
Place: Conference Hall 302, Education Building | Tishk International University – Erbil

Session topics: 

Two Session having the same title but two parts (Optimizing Field Development and Predicting EUR Utilizing Geochemistry I and II)

Presenters names and affiliations:

1- Mr. George Norton (Senior Completions Engineer @ Red Bluff Resources, Oklahoma City, Oklahoma)-USA
2- Dr. Jagar Aziz Ali, Lecturer, Soran University, SPE chair, Erbil Section

Outcome of the workshop:

A new appraisal and development strategy was explained using data analytics in conjunction with modern geochemical analysis. It is possible to identify which variables lead to correlations to EUR by combining the geochemistry

data with basic vertical logs from historical wells and applying multi-variant analysis. · EUR prediction using this method can be further utilized for evaluating well spacing implications and accurately measuring the communication and degradation percentage. · Combining this data with utilizing RQI in a contour map allows users to predict EUR of potential wells with 75% accuracy. · The workshop showed a modern method which cab significantly aid in land evaluation, development, planning, well spacing and economic prediction.