Events & Courses

The course will start with an online session to introduce the objectives of pumping tests and slug tests and the data sets commonly collected.  It will then introduce the different conceptual models that can be applied and the theory and practice of type curve fitting.

Attendees will receive exercises based on Kruseman and de Ridder's classic examples from 1991, covering two groups: Group 1 (Confined and Leaky aquifers) and Group 2 (unconfined aquifers, step tests, and slug tests). These exercises can be completed at the participants' convenience using their preferred software, including a free option.

For Group 1 exercises, participants have 2-3 weeks to complete them (2-4 hours), followed by an online workshop to discuss progress and common issues (software-specific training not included). Subsequently, a second online session will cover the theory behind unconfined tests, slug tests, and step tests.

Afterwards, attendees will have another 2-3 weeks to finish Group 2 exercises (3-6 hours), followed by a second brief workshop. A final online session will introduce advanced concepts like boundaries, heterogeneity, fractures, model equivalence, along with potential tools such as IGARF and various modeling utilities.

Dates for the sessions are as follows:

Session 1 – Wednesday 10 April, 9.30 -14.00 - Lecture Course with interactive elements, Q&A and task 1 brief

Session 2 – Tuesday 23 April, 16.00 - 17.30 - Workshop on task 1 progress

Session 3 – Wednesday 1 May, 9.30 -14.00 - Lecture Course with interactive elements, Q&A and task 2 brief

Session 4 – Wednesday 15 May, 16.00 - 17.30 - Workshop on task 2 brief

Session 5 – Monday 20 May, 9.30 -14.00 - Wrap up session

Mike Streetly

Mike Streetly is a highly experienced hydrogeologist and project director/manager with a strong reputation in the UK environmental industry for their water resource assessment skills. He is known for his proficiency in solving hydrogeological problems, particularly through groundwater models, and have recently applied his expertise to link groundwater abstraction rates with the ecological status of nearby streams. Mike has published numerous papers on groundwater-related topics and has held editorial and committee roles within the Geological Society.

With over 30 years of experience, he has overseen water resource studies across major UK aquifers, including regional groundwater model studies for the Environment Agency and site-specific projects for major water companies. His work also extends to understanding hydrogeological conditions in superficial deposits and minor aquifers, often in collaboration with the extractive industry. Mike has led hydrogeological impact assessments for large limestone quarries and have international experience in the Middle East and Zambia.

Furthermore, Mike has acted as an expert witness in cases related to quarry dewatering, borehole supplies, and natural mineral waters, presenting evidence at Public Inquiries to support informed decisions.

Dr Alan Herbert

Dr. Alan Herbert is a seasoned hydrogeologist with 40 years of experience in groundwater resource assessment and contaminant transport modeling. His career began with a focus on modeling flow and transport in deep fractured rock for radioactive waste management, contributing significantly to the development of widely-used software like CONNECTFLOW (formerly NAMMU and NAPSAC). 

Beyond academia, he's played key roles in environmental consultancy, leading projects across major UK aquifers, and applying various modeling techniques, including finite element and finite difference methods, to address water resource, contaminant migration, and geothermal challenges. 

Dr. Herbert has also served as an Expert Witness in court cases, chaired industry groups, and collaborated on software development. His recent research includes LNAPL impact modeling and supervising research on coastal saline interface dynamics. Currently, he directs Leaton Hydrogeology Limited, supporting the nuclear industry and contributing to conceptual modeling and complex data interpretation.