Benefits of machine learning in gas lift optimization is our topic for today. In Monday’s blog, we discussed the tedious past and current methods for optimizing gas lift production and what options are available with our Production Intelligence solutions to automate your production optimization process through machine learning. So, what are the benefits of adopting a machine learning approach to automate your gas lift production, saving you both time and money? Below is a discussion of these benefits.
Benefit #1: Get Proactive and Consistent Recommendations
The first benefit is that automation will provide proactive and scientifically consistent recommendations. This ensures that the well produces at its maximum economic potential, possibly minimizing lease operating expenses, at least from the gas lift injection rate perspective. Operators can proactively reallocate excess gas to starving wells. We say proactively because you are catching changes in the well as they happen and before they become glaringly obvious problems. Engineers, operators and managers can avoid surprises, like those that occur when step rate test results and monthly added production rates do not align. Since the application is ensuring that the well is being evaluated in its longest normal state, the likelihood the model’s evaluation of a set point change translates into cumulative numbers is high.
Benefit #2: Automate Nodal Analysis Field-Wide
The next benefit is that Nodal analysis is automated. Inputs are automatically ingested and unknowns are learned from history matching. Ultimately, it eliminates the guesswork that Operators and engineers used to have to do. The three biggest challenges for the engineer are the changes in wells, the uncertainty of down-hole parameters and the time required to develop and analyze simulations. To rigorously go through data input, nodal analysis, parametric analysis, history matching, to provide a set point recommendation is an activity which may be taking a lot of time and decision making for the engineer. Automated simulation save time for the engineer, inverse modeling helps provide a better understanding of the down-hole conditions and modeling inputs which may be tough to measure or estimate.
Benefit #3: Optimize Hands Free
Lastly, automating Gas Lift Optimization can be done while using a hands-free, scalable, self-updating application. Many production engineers have dreamed of something like this. If engineers are asked to perform data input, which includes nodal analysis and manual gas injection recommendations on 300+ wells with say a team of 5 engineers and 20 operators, most engineers would tend to go for an approximate solution rather than spend several weeks on rigorously performing nodal analysis. OspreyData’s solutions are enablers, saving lot of manual process time for the operators.
Maybe your are asking: With all of this free time, what could engineers & operators do? Could they could double production in some other wells?
The engineers and operators have a lot of other decisions to make and operations to perform such as planning and executing frac jobs on new wells, re-stimulation, work-overs and maintenance jobs on old wells, deciding when to switch the lift type of the well. Knowing that the job of set point recommendation has been taken care of across the field provides the time for activities which may arguably be higher on their priority. Knowing that machine learning model self updates itself gives the engineer confidence that the model is going to adapt to the changes in the well. Most importantly, knowing that gas injection optimization has been taken care of and down-hole parameters have been estimated, better data is available for planning successful re-stimulation jobs which can multiply the production rate of a well.
For a more detailed discussion on these benefits, feel free to request our webcast replay entitled “Increase Gas Lift Production with Artificial Intelligence.” It discusses these topics in conjunction with greater detail about the benefits of Gas Lift Optimization with our Production Intelligence solutions. If you want to start maximizing your oil production and increasing your ROI, contact us to set up an appointment with our sales team to discuss easy implementation on your oilfields. We say easy because Production Unified Monitoring is a cloud-based tool that can be accessed from any web browser without any hardware or software installs, meaning there are no capital expenditures. Contact Us Today!