Nicholas Sanders

[email protected]

Picure of Nicholas Sanders

Petroleum engineer with over 14 years of experience in Alaska’s Arctic oil fields, specializing in Wireline and Perforating operations. Proven track record in field operations management, production logging, and well diagnostics. Seeking to leverage expertise in daily operations and production within a leading oil company.

Resume Resume

Professional Experience

Dent Impact

Anchorage, AK

Drilling Analyst

Sep 2024 – Current

Halliburton Energy Services

Prudhoe Bay, AK

Field Operations Manager

Apr 2024 – Sep 2024

PEAK Champion

Nov 2023 – Apr 2024

Team Lead

Feb 2019 – Apr 2024

General Field Professional

Feb 2016 – Feb 2019

Senior Field Professional

Oct 2013 – Feb 2016

Field Professional

Aug 2011 – Oct 2013

Associate Field Professional

Jun 2010 – Aug 2011

Education

University of Alaska Fairbanks

Fairbanks, AK

Master of Science in Petroleum Engineering

May 2020

University of Alaska Fairbanks

Fairbanks, AK

Bachelor of Science in Petroleum Engineering

May 2010

Sinclair Community College

Dayton, OH

Associate of Applied Science in Computer Information Systems Network Engineering

Dec 2004

Skills and Credentials

Technical Skills

Software Proficiency

Credentials

Papers

Thesis: Computational fluid dynamics models of two-phase heavy oil-gas flow in horizontal pipes Thesis: Computational fluid dynamics models of two-phase heavy oil-gas flow in horizontal pipes

Abstract

The production of heavy oil resources is becoming more prevalent as the conventional resources of the world continue to deplete. These heavy oil resources are being produced from horizontal wells and need to be transported in pipeline to processing facilities as a two-phase flow. Two-phase flow is important to the oil industry with the general focus being placed on light oil or water and gas flows. With little work having been done on two-phase heavy oil flow this study will examine these two-phase flows by recreating experimental data generated for heavy oil and air flow in a 1.5-inch diameter pipe and expand this data to include larger 2.875-inch and 3.5-inch pipes.

A computational fluid dynamics model was generated to mimic the 1.5-inch diameter pipe used in the experiments. This model was validated for laminar and turbulent flow by using the same heavy oil properties from the original experiment and air respectively. The model was then run to simulate the given two-phase oil-air flows provided from the experimental data for the flow velocities that had pressure drop and liquid holdup data available. The two-phase results were compared to both the experimental data and the Beggs and Brill values for both pressure drop and liquid holdup. A 2.875-inch and 3.5-inch model were generated and the same process was followed for laminar and turbulent validation and then with a subset of four two-phase flow velocities. Without the availability of experimental data for the two larger size pipes the two-phase results were only compared to the Beggs and Brill values.

Overall the results showed a good correlation to the laminar and turbulent flow in all three models with the turbulent flow showing the largest error for the pressure drop when the flow was in the laminar to turbulent transition zone for Reynolds numbers. The two-phase results showed to be in between the experimental and Beggs and Brill method values for the original 1.5-inch model and showed that as the gas flow velocity increased in the system the error grew for all three models. Given that the Beggs and Brill method values were generated based on experiments for water-air flow in a 1.0-inch pipe the values for the pressure drop in the 2.875-inch pipe and the 3.5-inch pipe were not unexpected and seemed to match well with an extrapolation of the experimental values.

This study shows that a model can be generated to examine the two-phase flow behavior in horizontal sections of well and in pipelines on a computational basis. While these models are time consuming to generate and run with the increase in computing capacity available easily they can become more suitable than generating experimental setups for finding the same information. There will need to be more work done on heavy oil two-phase flow and additional experiments run for larger size pipes and two-phase flow to help tune these models but they do show promise for the future.

Thesis: Computational fluid dynamics models of two-phase heavy oil-gas flow in horizontal pipes Computational fluid dynamics model of oil flow into multi-zone single-string completions

Abstract

There are many different ways of running a completion in a well including barefoot openhole completion, single string completions, plug and perf frac completions, submersible pump completions, and multiple string completions. Each of these completions types has its advantages and disadvantages and it is up to the completions engineer to determine what will work best for a given reservoir. When an older well is producing from multiple reservoirs, it is possible that one of the zones would need to produce less so that the well is still economically viable.

This work looks at two common completion designs to model flow from a reservoir into a tubing string. A multi-zone single-string completion is looked at to see how the changing of tubing size and different valve sizes affect the flow from both reservoirs. A single mandrel-valve system is examined for three common sized tubing of 2.875, 3.5 and 4.5 inches being observed. The reservoir produces through a valve of four different sizes, 0.5, 0.375, 0.25, and 0.125 inches. A fourth case is considered looking at a sliding sleeve model with four openings from the tubing to the annular area of 0.125 inches.

These models are run through computation fluid dynamics software to determine flow rates from both the upper and lower reservoir for each of the cases. Pressure gradients and drawdowns of the tubing and reservoir are examined to look at the effects from the different sized tubing and valve combinations. The velocity profiles are also examined to determine if there are any adverse effects from smaller valves compared to larger valves. A comparison is then done between the single valve models and the sliding sleeve model to observe the possible difference between one fluid entry point and four fluid entry points into the tubing.