Mathematical and Advanced HYSYS Model Development for Hydrocracking Unit

@DeveloperStation

Hi, I’ve developed multiple kinetic models for hydrocracking and reforming, including a 5-lump model that accurately predicted diesel yield and other product distributions. I understand the importance of a well-structured model that allows for easy adjustments to parameters like activation energy and selectivity. In addition to my expertise in Python, I’m also proficient with C# and .NET, which can be beneficial for creating a robust web-based front-end for your model. I’ve built several web applications that integrate with Python back-ends, ensuring seamless communication between the two languages. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@maxscender

I can help you build this. I will implement a system of coupled ODEs using SciPy to solve the concentration profiles for all six lumps across the reactor volume. I will focus on a modular kinetic matrix where rate constants are explicitly linked to temperature via Arrhenius equations and to hydrogen partial pressure through a power-law or Langmuir-Hinshelwood approach. A practical challenge in these models is that at 175 bar, the impact of the hydrogen-to-oil ratio isn't just stoichiometric; it’s governed by hydrogen solubility and phase equilibrium. I will include a Henry’s Law correlation to ensure your "hydrogen ratio" input correctly scales the actual concentration of dissolved $H_2$ available at the catalyst surface. Additionally, I’ll structure the rate expressions to account for the competitive adsorption between lumps, as the unconverted VGO and diesel often compete for the same active sites, which is the "hidden" factor that typically limits diesel selectivity at higher temperatures. The final Python script will output sensitivity heatmaps, allowing you to visually pinpoint the "sweet spot" where diesel yield is maximized before overcracking into naphtha and gas begins.

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. I am a professional CHEMICAL ENGINEER with strong experience in handling projects across multiple domains of chemical engineering. I have extensive expertise in Aspen Plus and Aspen HYSYS, which allows me to develop accurate process simulations, perform sensitivity analyses, optimize operating conditions, and design efficient process flowsheets for various chemical and petrochemical systems. I have successfully completed 1000+ Projects for multiple regular clients all over the world. My areas of expertise include:  Process simulation and modeling (Aspen Plus / Aspen HYSYS)  Mass and energy balance calculations  Process design and optimization  Thermodynamics and reaction engineering  Heat exchanger and separation process analysis  Distillation, absorption, and extraction processes  Chemical process report writing and technical documentation We have good command over REPORT WRITING, we can show you many samples of our previous reports. Let’s discuss further details in the message box.

@vronald183

Hi. I'm a chemical engineer and I'm an expert in mathematical modeling and simulation of chemical processes. I read the job description and I can complete the project. If you're interested in my services let me know. Kind regards.

@mayankinnovative

Hi, As per my understanding: You need a rigorous six-lump hydrocracking reactor kinetic model covering fresh VGO feed, unconverted material, diesel, kerosene, naphtha, and gas phases under high-pressure operating conditions. The objective is to simulate and optimize product distribution—especially maximizing diesel and kerosene yields—while allowing sensitivity analysis for temperature, feed composition, and hydrogen partial pressure through editable kinetic and selectivity parameters. Implementation approach: I will develop a modular Python-based reactor model incorporating material and energy balances with explicit kinetic expressions, Arrhenius-based activation energies, hydrogen dependency terms, and lump-to-lump reaction pathways. The framework will support flexible parameter editing for future optimization studies and include numerical ODE/PFR solving using scientific libraries like SciPy and NumPy. Validation runs will demonstrate mass-balance closure, realistic conversion/selectivity behavior, and stable reactor performance at the specified base case. I’ll also generate sensitivity studies with clear plots showing diesel-yield trends versus temperature, feed quality, and hydrogen ratio, along with a concise technical notebook explaining assumptions, parameter estimation logic, and workflow extensibility. A few quick questions: 1. Do you already have plant or pilot data available for parameter fitting/validation?

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- TO DEVELOP MATHEMATICAL AND ADVANCED HYSYS MODELS FOR A VGO HYDROCRACKING UNIT AND PROVIDE INSIGHTFUL ANALYSIS I have carefully read and understood your project description and can create a robust general mathematical model in Python/Matlab to capture the hydrocracking process behavior, and an advanced HYSYS simulation adaptable for varying datasets. I am the best fit because I have 9+ years experience as a full stack developer with hands-on experience in process modeling, simulation, and chemical engineering analysis. I match your requirements: development of general mathematical model, advanced adaptable HYSYS simulation, and data visualization with analysis for research papers. I provide database management of simulation outputs, testing, and full source code delivery with documentation. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@codefusion53

Hi, I can build a rigorous six-lump hydrocracking kinetic model in Python that lets you study and optimize diesel and kerosene yield across temperature, feed composition, and hydrogen partial pressure. I have strong experience with Python simulation, chemical engineering calculations, numerical modeling, material and energy balances, parameterized rate expressions, sensitivity analysis, and data visualization. I can structure the model around the six requested lumps: gas, naphtha, kerosene, diesel, unconverted material, and fresh VGO feed, with editable kinetic parameters, activation energies, selectivity factors, and hydrogen dependency terms. The delivery will include clean, well-commented Python code or a notebook, validation runs for the base case around 370 °C and 170 bar, mass-balance closure checks, realistic conversion and selectivity outputs, and sensitivity sweeps showing diesel yield trends versus temperature, feed quality, and hydrogen concentration. I will also provide plots and a concise technical note explaining assumptions, equations, parameter definitions, and how to adjust the model for future optimization work. This will be built as an expandable engineering tool, not just a one-time calculation. Best, Justin

@qualityxenter

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@Zack111Arya97

Hi, I am Zakaria. As a Master’s graduate in Automatics and Systems, I specialize in the mathematical modeling and optimization of complex industrial processes. I approach chemical kinetics as a dynamic system of differential equations, ensuring that the interaction between temperature, pressure, and concentration is captured with engineering precision. Why I am the best fit for this modeling task: 1. Rigorous Mathematical Modeling: I will develop a Python-based state-space model for your six-lump system. Using a system of Ordinary Differential Equations (ODEs), I will map the competitive reaction pathways between VGO, Diesel, Kerosene, Naphtha, and Gas. 2. Parameter Sensitivity: My background in system identification allows me to build a model where activation energies and rate constants are explicit. This ensures you can accurately study the Arrhenius dependence of temperature (370–380°C) and the impact of hydrogen partial pressure on saturation kinetics. 3. Optimization-Focused Code: I write clean, modular code designed for future expansion. I will use libraries like SciPy for robust ODE solving and Matplotlib to generate the sensitivity sweeps you need to identify the "sweet spot" for maximum diesel and kerosene yield. Should we start by defining the specific reaction pathways for your six-lump network to ensure the kinetic matrix is perfectly aligned with your reactor's behavior?

@Abdulyaqs

Yes, I can deliver this project. Based on my expertise in reaction kinetics, parameter estimation, and optimization, I will build a rigorous six-lump hydrocracking model in Python. I have extensive experience with lumped kinetic models, Arrhenius equations, and rate expressions from my recent work on MEA-based CO₂ capture simulation. With over twenty years in optimization including genetic algorithms for multi-objective problems, I can optimize diesel and kerosene yield across temperature, feed composition, and hydrogen partial pressure. My approach implements ODEs for all six lumps with explicit, editable rate constants. I will validate the base case at 370°C and 175 bar for mass balance closure, then run sensitivity sweeps with clear plots showing diesel-yield trends. Finally, I will apply optimization to maximize diesel and kerosene production simultaneously. Deliverables include well-commented Python code, validation runs, sensitivity plots, and a technical note explaining assumptions. Ready to start within your budget. Best regards, Yakubu Abdullahi

@ivicab6

With over 6 years of experience as a full-stack engineer, I have developed a keen understanding of developing end-to-end, reliable and high-performance applications using Python like your project requires. I am highly comfortable with data analysis and processing, which are crucial aspects of obtaining the kinetic model you seek. In fact, generating models from material and energy balance equations is something I find fascinating and have dabbled in before. Having worked on various projects that required analysis and modeling, I have gained proficiency in making intricate problems understandable through clear plots and visualizations. This skill set would be particularly useful for your request for sensitivity sweeps and coherent diesel-yield curves. Finally, my focus on clean architecture and maintainable code ensures that the model we create together will not just work but can be easily expanded and modified to meet future changes or optimization needs. Let's take this challenge head-on and optimize your hydrocracking reactor!

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@azraazeen9

As an experienced engineer with particular focus on process engineering and simulation, I bring to your project a proven ability to design and construct highly rigorous models. Over my career, I have dealt with complex projects that catered to unique client needs, very much like yours. My skills extend to coding in Python, among other languages, which I believe will be key for crafting the adaptable and comprehensive model that you desire. I understand the significant factors for optimizing yield in hydrocracking reactors and how essential it is to have a model that can immediately display the impact of variations. In your case, temperature, feed composition, and hydrogen ratio all hold importance. With meticulous attention to detail and well-commented code writing habits, I assure you that I can deliver not only the required features but also a model that guarantees sensible conversion/selectivity values and reproducible diesel-yield curves. Lastly, I respect your future expansion plans for this code post-delivery. To supplement that, I will provide a thoroughly documented explanation on assumptions, parameters usage along with clear guidelines for making adjustments. With me onboard, you're gaining more than a freelancer - you're gaining a partner invested in your success through every stage of this project. Let's create a model that not only performs exceptionally but also empowers and arms you well for the future optimizations!

@perfectwriter002

Hello client, I am excited to submit my proposal for your project. With years of experience in the field, I am confident in my ability to deliver high-quality work that meets your needs. I have carefully reviewed your project description and requirements; I understand that you are looking to achieve your project objectives. My approach will ensure that I deliver exactly what you have requested in the project. I will keep you updated on the project progress and ensure timely delivery. If you are interested in moving forward I’d be happy to discuss the project further and answer any questions you may have. Thanks for considering my proposal; I look forward to the opportunity to work with you. Please open your messenger and send me complete details to discuss it further. Thank you.

@exequiel12ifran

Hello, I just read through your job description carefully. I have experience developing mathematical models and simulations using Python, Matlab, Mathematica, and have a solid background in chemical and process engineering. I'm skilled in data visualization and analysis, which will be essential for creating adaptable HYSYS models. I'm eager to work on this project as it aligns perfectly with my skills and experience. I'm confident I can deliver the mathematical model and advanced HYSYS model you need within a short timeframe. Looking forward to hearing from you. Kind Regards, Lautaro

@cindyviorinar

Hello, I am confident in my ability to develop a robust mathematical model and an advanced HYSYS model for your hydrocracking unit. I have a solid background in chemical engineering and extensive experience with simulations and process modeling, specifically tailored to complex systems like hydrocracking. Your project requires not only a general mathematical model to describe the process behavior but also an adaptable HYSYS model capable of integrating variable datasets. I will ensure these models clearly illustrate the effects of operating conditions, including the 170 barg pressure and temperatures between 370 and 390°C. The implementation will employ a systematic approach, using Matlab and Python for modeling, along with detailed data analysis to generate meaningful insights. I aim to provide a comprehensive solution that includes two research papers exploring process parameters and product yield optimization within the context of your models. I am available for real-time communication based on your time zone, and I'm ready to provide a simple demo or initial portion of the project within 12 hours of commencement. Q1: What specific datasets do you want to include in the HYSYS model? Q2: Are there any existing models or data I should consider in the development? Q3: What specific outcomes do you expect from the research papers? Looking forward to your insights. Best regards, Cindy Viorina

@demivision

Drawing from two decades of experience as a software developer, I, Barry, am highly confident in my capability to create sophisticated mathematical and advanced HYSYS models for your hydrocracking unit project. My extensive expertise in Python, a language renowned for its application in scientific computing, is the perfect fit for developing the required mathematical model. Furthermore, my proficiency in HYSYS will enable me to construct an adaptable model capable of handling different datasets. Delivering beyond the mentioned deliverables is one of my key strengths. In addition to providing the generalized models requested, I will furnish two highly detailed research papers. The first paper will focus on the correlations between process parameters and results - info crucial for effective decision-making. The second paper will revolve around maximizing product yield through optimal utilization of these models. These papers will testify to my technical prowess and attention to detail. Additionally, my immersion in the mobile industry over two decades has equipped me with a broader skill set and exposed me to versatile problem-solving techniques. I am an advocate for clean architecture, security, performance, and measurable business outcomes - qualities that align seamlessly with the demands of your project. In conclusion, my extensive knowledge of Python, HYSYS modeling skills and ability to deliver impactful insights through comprehensive research make me the perfect candidate for this project. Let's collaborate and witness game-changing solutions come to life!