WEBINAR: AI, BUSINESS CASES, CHATGPT&DATA: THE NEW ABCDs OF
CHEMICAL ENGINEERING
GPT= GENERATIVE PRE-TRAINED TRANSFORMER
Transformer-> related to neuro networks-> by google on 2017
One of the large language modeling
LLM consists of transformers and neural network-> there is no intelligence or reasoning
behind but rather they will generate one work at a time, and calculate what’s the most
probable which is coming next or after that; Most probable.
Neural network-> input variable (e.g. flowrate, inlet flowrate) represents by x1, x2 and x3
and the goal is come up with the most suitable ; y1 is the predicted variable; H1,H2, Hn
non-liner function (?)
Excel-> optimization can be used; Square error; minimize the root mean squared error
DEMO
Crane Co., Engineering Data on Flow of Fluids in Pipes.
Automation HYSYS
CASE 1: BOILER WATER QUALITY (pH)
Steam is used in:
1. Heating up products
2. Operating Turbine
3. Purging to remove hydrocarbons and chemicals inside reactors or distillation column;
before inspection equipment should be hydrocarbon-free that might cause explosion
Low boiler water pH (Off-Spec Boiler Water)
Discussed the process of generating steam.
Acidic boiler water might cause water tube rupture.
Steam drum maintain a certain level of water and steam; backflush water to maintain
the quality.
Boiler water pH= function (conductivity, silica, etc.)
Boiler water prediction OPERATING PARAMETERS AND BOILER FEED WATER
PARAMETERS. Azure Machine Learning and Power BI
Operating Parameters + Boiler Feed Water Parameter Boiler Water Quality Prediction
Model ; Form Regression of Boiler Water Quality; Find the optimal blowdown flowrates
at boiler steam drum and prescribe the action to normalize the abnormal treanding of
boiler water quality Output: Recommended Blow down
CASE 2: HEAT DUTY PREDICTION OF PREHEAT TRAIN HEAT EXCHANGERS IN
CRUDE DISTILLATION UNIT FOR ENERGY OPTIMIZATION
If I want to start studying AI that can be integrated in industry processes, where
must I start and what tools can you recommend, I must study?
ANUAR H.
Use MATLAB. Use Phyton. Matlab to phyton
1. Phyton has free licenses.
2. All the discoveries, tools, and AI Machine learning all written in Phyton. Many
resources for this tool that can be used. And be translated in CHATGPT, and get
trainings. Online resources for tutorials are also available.
ZHENG
1. Phyton. Easy to access and free.