Inprocess

Introduction to Steady State Simulation
2026-10-20 00:00 - 2026-10-22 23:59, 2026-03-10 00:00 - 2026-03-12 23:59 (Atlantic/Azores)
Location: Classroom CourseCourse price: 1,900€

The course content covers the basic needs of process simulation users. The basic unit operations are introduced in a stepwise manner with the objective of being able to build flowsheets by the end of the course. The use of several software functionalities will show users how to explore operating alternatives for the processing plant units that are being studied.

A copy of the extensive training material used during the course will be provided to the students to be used as a basis for further study.

Introduction to Steady State Simulation

Do you want to register to the course? Please, fill in your professional details:

Please, provide us with the following information in order we can create a proforma invoice for you.

First Name

Last Name

Title

Department

E-mail

Phone

Company

Address Line 1

Address Line 2

City

Postal Code

Country

Select
Afghanistan
Åland Islands
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Réunion
Romania
Russian Federation
Rwanda
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten (Dutch part)
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syrian Arab Republic
Taiwan (Province of China)
Tajikistan
Tanzania, United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom of Great Britain and Northern Ireland
United States of America
United States Minor Outlying Islands
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Virgin Islands (British)
Virgin Islands (U.S.)
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe

VAT Number

In case you are registering on behalf of someone else, please provide Name and Family Name of course attendee:

First Name

Last Name

I have read and accept the Inprocess Technology & Consulting Group, S.L. Privacy Policy.
Yes I agree to the storing and processing of my personal data and agree to receive communications from Inprocess Technology & Consulting Group, S.L. as described in the Privacy Policy.
I understand I can manage my preferences or opt-out of communications at any time using the unsubscribe link in any email communication.

Submit

Do you need more information before registering? Let us know

Introduction to Dynamic Process Simulation
2026-09-15 00:00 - 2026-09-17 23:59, 2026-06-16 00:00 - 2026-06-18 23:59, 2026-02-17 00:00 - 2026-02-19 23:59
Location: Classroom CourseCourse price: 1,900€

With current dynamic process simulators, it is possible to create a reliable representation of an operating plant on a PC – including all process equipment, all instrumentation and controllers and having it running several times faster than in real time. Dynamic Process Simulation provides flexible interaction between the engineer and the tool, making the user easily understand the consequences of his/her operational and/or design decisions – leading to better and quicker decision making and furthermore improved confidence in the decisions taken.

This course enables the attendees to use the dynamic modeling capabilities of dynamic process simulators to model and simulate typical processing facilities, showing the benefits dynamic process simulation can bring in the day-to- day engineering and operating environment.

Introduction to Dynamic Process Simulation

Do you want to register to the course? Please, fill in your professional details:

Please, provide us with the following information in order we can create a proforma invoice for you.

First Name

Last Name

Title

Department

E-mail

Phone

Company

Address Line 1

Address Line 2

City

Postal Code

Country

Select
Afghanistan
Åland Islands
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Réunion
Romania
Russian Federation
Rwanda
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten (Dutch part)
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syrian Arab Republic
Taiwan (Province of China)
Tajikistan
Tanzania, United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom of Great Britain and Northern Ireland
United States of America
United States Minor Outlying Islands
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Virgin Islands (British)
Virgin Islands (U.S.)
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe

VAT Number

In case you are registering on behalf of someone else, please provide Name and Family Name of course attendee:

First Name

Last Name

I have read and accept the Inprocess Technology & Consulting Group, S.L. Privacy Policy.
Yes I agree to the storing and processing of my personal data and agree to receive communications from Inprocess Technology & Consulting Group, S.L. as described in the Privacy Policy.
I understand I can manage my preferences or opt-out of communications at any time using the unsubscribe link in any email communication.

Submit

Do you need more information before registering? Let us know

Simulation of Natural Gas Transmission and Processing
2026-05-18 00:00 - 2026-05-22 23:59
Location: Classroom CourseCourse price: 4,600€

This participative and interactive five-day course covers the processes in the Natural Gas transmission and processing industry, using a commercial process simulator to carry out the calculations. The Elsevier’s Handbook of Natural Gas Transmission & Processing, co-authored by the course lecturer, is the basis for the material presented during theoretical morning lectures, coupled with comprehensive afternoon hands-on sessions based on typical gas transmission and processing facilities. With this combined approach, attendees will Review the properties of natural gas, basic equations, PVT behavior, vapor-liquid equilibria, and gas hydrates. Learn the basics of natural gas transmission and processing as well as the recent advances and new opportunities for solving current gas transmission and processing problems. Discuss key considerations to be taken into account for any natural gas field project in development. Acquire good simulation practices though the guided creation of simulation cases of increasing complexity. Understand and Discover optimization ways for the several common units found in the natural gas processing industry, using simulation exercises. Incorporate the necessary know-how in steady state process simulation that should allow them to afford the design and operation of any possible future process in the natural gas and associated industries. Transform current processes into more competitive ones by an optimal use of process simulators. Reduce the execution time of projects.

Simulation of Natural Gas Transmission and Processing

Do you want to register to the course? Please, fill in your professional details:

Please, provide us with the following information in order we can create a proforma invoice for you.

First Name

Last Name

Title

Department

E-mail

Phone

Company

Address Line 1

Address Line 2

City

Postal Code

Country

Select
Afghanistan
Åland Islands
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Réunion
Romania
Russian Federation
Rwanda
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten (Dutch part)
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syrian Arab Republic
Taiwan (Province of China)
Tajikistan
Tanzania, United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom of Great Britain and Northern Ireland
United States of America
United States Minor Outlying Islands
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Virgin Islands (British)
Virgin Islands (U.S.)
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe

VAT Number

In case you are registering on behalf of someone else, please provide Name and Family Name of course attendee:

First Name

Last Name

I have read and accept the Inprocess Technology & Consulting Group, S.L. Privacy Policy.
Yes I agree to the storing and processing of my personal data and agree to receive communications from Inprocess Technology & Consulting Group, S.L. as described in the Privacy Policy.
I understand I can manage my preferences or opt-out of communications at any time using the unsubscribe link in any email communication.

Submit

Do you need more information before registering? Let us know

Process Control for Process Engineers using Dynamic Simulation
2026-04-14 00:00 - 2026-04-16 23:59
Location: Classroom CourseCourse price: 1,900€

Process Engineers are heavy users of simulation tools (HYSYS, UniSim, A+, …) to design new processes or revamps. They mainly work in steady-state mode, but frequently they have to interact with the Control Engineers to discuss how the process will be controlled and operated. Then, many process dynamics and control concepts need to be clearly understood by the Process Engineers to effectively design the production process and their corresponding control philosophy.

Plant designs have become increasingly complex, integrated and interactive. Heat integration, process recycles and minimum hold-ups are typical design features. Whilst such designs optimize steady state operation, they present particular challenges to control and operations engineers. Clearly, the ideal solution is not to just develop a working control strategy, but also to design a process that is inherently easy to control.

Some questions answered during the course:

How valve ́s size affects the process behavior?, What problems are encountered for wrongly sized valve?

How valve characteristics changes when it is installed?

How to indentify process responses and non-linear behavior?

What process parameter determines the ability of a process to reject, or attenuate, disturbances?

Why process capacitance is good for disturbance rejection, but produces very slow response times?

Why process Dead Time has no effect on the filtering capability of the process?

When processes with Dead Time can cause problems in the control?

What kind of processes can be covered with the Feedback control?

What is the effect of filtering in the control response?

What processes can benefit from the PID derivate action?

How Buffer tanks/surge drums can help to isolate equipment from upstream disturbances?

What are the limitations of the Feedback control, when the Feedforward control is recommended?

Remember that no fancy Laplace transforms or Nyquist plots are used. The importance of the course is that all questions are answered from the practical side, through the use of already built dynamic models, so attendees can additionally evaluate the usability of the tool for certain dynamic/control analysis. However, no previous knowledge of the tool is required.

Process Control for Process Engineers using Dynamic Simulation

Do you want to register to the course? Please, fill in your professional details:

Please, provide us with the following information in order we can create a proforma invoice for you.

First Name

Last Name

Title

Department

E-mail

Phone

Company

Address Line 1

Address Line 2

City

Postal Code

Country

Select
Afghanistan
Åland Islands
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo (Democratic Republic of the)
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia (Federated States of)
Moldova (Republic of)
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Réunion
Romania
Russian Federation
Rwanda
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten (Dutch part)
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syrian Arab Republic
Taiwan (Province of China)
Tajikistan
Tanzania, United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom of Great Britain and Northern Ireland
United States of America
United States Minor Outlying Islands
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Virgin Islands (British)
Virgin Islands (U.S.)
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe

VAT Number

In case you are registering on behalf of someone else, please provide Name and Family Name of course attendee:

First Name

Last Name

I have read and accept the Inprocess Technology & Consulting Group, S.L. Privacy Policy.
Yes I agree to the storing and processing of my personal data and agree to receive communications from Inprocess Technology & Consulting Group, S.L. as described in the Privacy Policy.
I understand I can manage my preferences or opt-out of communications at any time using the unsubscribe link in any email communication.

Submit

Do you need more information before registering? Let us know

Introduction to Dynamic Process Simulation
2025-12-02 00:00 - 2025-12-04 23:59, 2025-09-16 00:00 - 2025-09-18 23:59, 2025-06-17 00:00 - 2025-06-19 23:59, 2025-02-18 00:00 - 2025-02-20 23:59
Location: Classroom CourseCourse price: 1,900€

With current dynamic process simulators, it is possible to create a reliable representation of an operating plant on a PC – including all process equipment, all instrumentation and controllers and having it running several times faster than in real time. Dynamic Process Simulation provides flexible interaction between the engineer and the tool, making the user easily understand the consequences of his/her operational and/or design decisions – leading to better and quicker decision making and furthermore improved confidence in the decisions taken.

This course enables the attendees to use the dynamic modeling capabilities of dynamic process simulators to model and simulate typical processing facilities, showing the benefits dynamic process simulation can bring in the day-to- day engineering and operating environment.

Introduction to Dynamic Process Simulation

Process Control for Process Engineers using Dynamic Simulation
2025-11-04 00:00 - 2025-11-06 23:59, 2025-04-08 00:00 - 2025-04-10 23:59
Location: Classroom CourseCourse price: 1,900€

Process Engineers are heavy users of simulation tools (HYSYS, UniSim, A+, …) to design new processes or revamps. They mainly work in steady-state mode, but frequently they have to interact with the Control Engineers to discuss how the process will be controlled and operated. Then, many process dynamics and control concepts need to be clearly understood by the Process Engineers to effectively design the production process and their corresponding control philosophy.

Plant designs have become increasingly complex, integrated and interactive. Heat integration, process recycles and minimum hold-ups are typical design features. Whilst such designs optimize steady state operation, they present particular challenges to control and operations engineers. Clearly, the ideal solution is not to just develop a working control strategy, but also to design a process that is inherently easy to control.

Some questions answered during the course:

How valve ́s size affects the process behavior?, What problems are encountered for wrongly sized valve?

How valve characteristics changes when it is installed?

How to indentify process responses and non-linear behavior?

What process parameter determines the ability of a process to reject, or attenuate, disturbances?

Why process capacitance is good for disturbance rejection, but produces very slow response times?

Why process Dead Time has no effect on the filtering capability of the process?

When processes with Dead Time can cause problems in the control?

What kind of processes can be covered with the Feedback control?

What is the effect of filtering in the control response?

What processes can benefit from the PID derivate action?

How Buffer tanks/surge drums can help to isolate equipment from upstream disturbances?

What are the limitations of the Feedback control, when the Feedforward control is recommended?

Remember that no fancy Laplace transforms or Nyquist plots are used. The importance of the course is that all questions are answered from the practical side, through the use of already built dynamic models, so attendees can additionally evaluate the usability of the tool for certain dynamic/control analysis. However, no previous knowledge of the tool is required.

Process Control for Process Engineers using Dynamic Simulation

Introduction to Steady State Simulation
2025-10-14 00:00 - 2025-10-16 23:59, 2025-03-11 00:00 - 2025-03-13 23:59
Location: Classroom CourseCourse price: 1,900€

The course content covers the basic needs of process simulation users. The basic unit operations are introduced in a stepwise manner with the objective of being able to build flowsheets by the end of the course. The use of several software functionalities will show users how to explore operating alternatives for the processing plant units that are being studied.

A copy of the extensive training material used during the course will be provided to the students to be used as a basis for further study.

Introduction to Steady State Simulation

Simulation of Natural Gas Transmission and Processing
2025-05-19 00:00 - 2025-05-23 23:59
Location: Classroom CourseCourse price: 4,600€

This participative and interactive five-day course covers the processes in the Natural Gas transmission and processing industry, using a commercial process simulator to carry out the calculations. The Elsevier’s Handbook of Natural Gas Transmission & Processing, co-authored by the course lecturer, is the basis for the material presented during theoretical morning lectures, coupled with comprehensive afternoon hands-on sessions based on typical gas transmission and processing facilities. With this combined approach, attendees will Review the properties of natural gas, basic equations, PVT behavior, vapor-liquid equilibria, and gas hydrates. Learn the basics of natural gas transmission and processing as well as the recent advances and new opportunities for solving current gas transmission and processing problems. Discuss key considerations to be taken into account for any natural gas field project in development. Acquire good simulation practices though the guided creation of simulation cases of increasing complexity. Understand and Discover optimization ways for the several common units found in the natural gas processing industry, using simulation exercises. Incorporate the necessary know-how in steady state process simulation that should allow them to afford the design and operation of any possible future process in the natural gas and associated industries. Transform current processes into more competitive ones by an optimal use of process simulators. Reduce the execution time of projects.

Simulation of Natural Gas Transmission and Processing

Introduction to Dynamic Process Simulation
2024-12-10 00:00 - 2024-12-12 23:59, 2024-09-17 00:00 - 2024-09-19 23:59, 2024-06-11 00:00 - 2024-06-13 23:59, 2024-02-20 00:00 - 2024-02-22 23:59, 2023-12-12 00:00 - 2023-12-14 23:59, 2023-09-19 00:00 - 2023-09-21 23:59
Location: Classroom CourseCourse price: 1,815€

With current dynamic process simulators, it is possible to create a reliable representation of an operating plant on a PC – including all process equipment, all instrumentation and controllers and having it running several times faster than in real time. Dynamic Process Simulation provides flexible interaction between the engineer and the tool, making the user easily understand the consequences of his/her operational and/or design decisions – leading to better and quicker decision making and furthermore improved confidence in the decisions taken.

This course enables the attendees to use the dynamic modeling capabilities of dynamic process simulators to model and simulate typical processing facilities, showing the benefits dynamic process simulation can bring in the day-to- day engineering and operating environment.

Introduction to Dynamic Process Simulation

Process Control for Process Engineers using Dynamic Simulation
2024-11-05 00:00 - 2024-11-07 23:59, 2024-04-16 00:00 - 2024-04-18 23:59, 2023-11-14 00:00 - 2023-11-16 23:59
Location: Classroom CourseCourse price: 1,815€

Process Engineers are heavy users of simulation tools (HYSYS, UniSim, A+, …) to design new processes or revamps. They mainly work in steady-state mode, but frequently they have to interact with the Control Engineers to discuss how the process will be controlled and operated. Then, many process dynamics and control concepts need to be clearly understood by the Process Engineers to effectively design the production process and their corresponding control philosophy.

Plant designs have become increasingly complex, integrated and interactive. Heat integration, process recycles and minimum hold-ups are typical design features. Whilst such designs optimize steady state operation, they present particular challenges to control and operations engineers. Clearly, the ideal solution is not to just develop a working control strategy, but also to design a process that is inherently easy to control.

Some questions answered during the course:

How valve ́s size affects the process behavior?, What problems are encountered for wrongly sized valve?

How valve characteristics changes when it is installed?

How to indentify process responses and non-linear behavior?

What process parameter determines the ability of a process to reject, or attenuate, disturbances?

Why process capacitance is good for disturbance rejection, but produces very slow response times?

Why process Dead Time has no effect on the filtering capability of the process?

When processes with Dead Time can cause problems in the control?

What kind of processes can be covered with the Feedback control?

What is the effect of filtering in the control response?

What processes can benefit from the PID derivate action?

How Buffer tanks/surge drums can help to isolate equipment from upstream disturbances?

What are the limitations of the Feedback control, when the Feedforward control is recommended?

Remember that no fancy Laplace transforms or Nyquist plots are used. The importance of the course is that all questions are answered from the practical side, through the use of already built dynamic models, so attendees can additionally evaluate the usability of the tool for certain dynamic/control analysis. However, no previous knowledge of the tool is required.

Process Control for Process Engineers using Dynamic Simulation

Introduction to Steady State Simulation
2024-10-15 00:00 - 2024-10-17 23:59, 2024-03-12 00:00 - 2024-03-14 23:59, 2023-11-28 00:00 - 2023-11-30 23:59
Location: Classroom CourseCourse price: 1,815€

The course content covers the basic needs of process simulation users. The basic unit operations are introduced in a stepwise manner with the objective of being able to build flowsheets by the end of the course. The use of several software functionalities will show users how to explore operating alternatives for the processing plant units that are being studied.

A copy of the extensive training material used during the course will be provided to the students to be used as a basis for further study.

Introduction to Steady State Simulation

Simulation of Natural Gas Transmission and Processing
2024-05-27 00:00 - 2024-05-31 23:59
Location: Classroom CourseCourse price: 4,400€

This participative and interactive five-day course covers the processes in the Natural Gas transmission and processing industry, using a commercial process simulator to carry out the calculations. The Elsevier’s Handbook of Natural Gas Transmission & Processing, co-authored by the course lecturer, is the basis for the material presented during theoretical morning lectures, coupled with comprehensive afternoon hands-on sessions based on typical gas transmission and processing facilities. With this combined approach, attendees will Review the properties of natural gas, basic equations, PVT behavior, vapor-liquid equilibria, and gas hydrates. Learn the basics of natural gas transmission and processing as well as the recent advances and new opportunities for solving current gas transmission and processing problems. Discuss key considerations to be taken into account for any natural gas field project in development. Acquire good simulation practices though the guided creation of simulation cases of increasing complexity. Understand and Discover optimization ways for the several common units found in the natural gas processing industry, using simulation exercises. Incorporate the necessary know-how in steady state process simulation that should allow them to afford the design and operation of any possible future process in the natural gas and associated industries. Transform current processes into more competitive ones by an optimal use of process simulators. Reduce the execution time of projects.

Simulation of Natural Gas Transmission and Processing
