We are pleased to announce that our own Tom Meuzelaar will be presenting "Mine water and materials optimization throughout the mine project life cycle" next week at Geochemistry of Ore Deposits for a Low Carbon Society, a Gordon Research Conference.
Life Cycle Geo, LLC.
Mining
Longmont, CO 1,186 followers
Providing innovative geosolutions across the project life cycle for the natural resource sectors
About us
Life Cycle Geo (LCG) was founded in 2018, with the primary aim of providing innovative geoscience solutions to the mining and oil and gas industries across the project life cycle. LCG provides a broad range of technical services in the areas of geology, geochemistry and the data sciences. In addition to these services, it is a primary aim of LCG to help clients optimize and automate their projects and realize significant long-term project cost savings using innovative artificial intelligence-based tools such as machine learning and deep learning. LCG company founder Dr. Tom Meuzelaar was the recipient of Golder Associates’ inaugural Technical Excellence and Innovation Program award for his development of a workflow for the management of mine materials through all stages of the project life cycle using structured drillcore assay and unstructured hyperspectral mineralogy in combination with unsupervised classification and supervised machine learning techniques. LCG believes that most drillcore assay data is heavily underutilized and can be used to unlock significant additional project value for our clients. At LCG, our clients come first. We commit to: Carefully listening to your needs before offering a solution - Delivering a quality product on time and within budget - Providing an appropriate level of communication throughout the project duration - Remaining flexible and adaptable as project and client needs evolve - Conducting our work with the highest level of professionalism, integrity and care
- Website
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http://www.lifecyclegeo.com
External link for Life Cycle Geo, LLC.
- Industry
- Mining
- Company size
- 2-10 employees
- Headquarters
- Longmont, CO
- Type
- Self-Owned
- Founded
- 2018
- Specialties
- Geochemistry, Geology, Machine Learning, Hyperspectral Mineralogy, Supervised Learning, Unsupervised Learning, Principal Component Analysis, Geochemical Modeling, Mining, and Oil and Gas
Locations
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Primary
729 Main Street
Longmont, CO 80501, US
Employees at Life Cycle Geo, LLC.
Updates
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It was a real privilege to share some thoughts on instrumentation, edge computing, cloud and analytics in water treatment to a great crowd at CIM CONNECT, especially with such a talented group of co-presenters - Monique Simair, Myriam De Ladurantaye-Noel and Carlos Gonzalo Alvarez Rosario. Also thank you to Amanda L Alaica-Ciosek PhD PEng for doing a wonderful job as session chair
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Life Cycle Geo, LLC. is excited to offer a Python short course at the upcoming West Virginia Mine Drainage Task Force Symposium and 15th International Mine Water Association Congress. More details and registration can be found here: https://lnkd.in/e-7VmrkK
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LCG (Tom Meuzelaar and Samuel JS Wright) are partnering with ERM (Pim van Geffen, PhD, PGeo) and Kinross (Juan Carlos Ordóñez Calderón) to offer an Introduction to Machine Learning and its Application across the Mine Project Life Cycle. Come join us for an interesting workshop! https://lnkd.in/dpnZgjqE
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We are looking forward to connecting with our clients and colleagues at next week's Society for Mining, Metallurgy & Exploration conference in Phoenix, Arizona. LCG's Jacob Waples, Shannon Daugherty Zahuranec and Tom Meuzelaar will all be in attendance. Hope to see you there! https://lnkd.in/eRvE6f2K
Home – SME Annual Conference
https://smeannualconference.org
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Life Cycle Geo, LLC. warmly welcomes Greg Lehn, our latest team member, who joined us in February 2024. Greg brings a deep expertise in aqueous geochemistry, mineral weathering, and reactive transport modeling, among other areas, with a rich project background across mining, power, and industrial clients. We are especially excited about his experience working with stable and radiogenic isotopes, which he uses to identify contaminant sources and travel pathways at complex sites. Residing in Denver, Colorado, Greg enjoys exploring the outdoors and spending quality time with his family. We're excited for the expertise and passion Greg brings to Life Cycle Geo and look forward to his contributions. Welcome aboard, Greg!
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In this year's holiday post, we've taken to the skies, thanks to Jim Jonas, our Principal Consultant and Licensed drone pilot. Wishing everyone Happy Holidays from Life Cycle Geo, LLC. 🎉 Tom Meuzelaar Jacob Waples Pam Rohal Diana Brown Alice Alex Erik Guldbech Samuel JS Wright Allie Wyman-Feravich Shannon Daugherty Zahuranec Jack Gibbons
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Life Cycle Geo, LLC. is excited to participate in the upcoming Tailings and Mine Waste Conference in Vancouver. Tom Meuzelaar is set to co-present alongside Kristin Salzsauler from Geosyntec Consultants, sharing compelling insights on Environmental Block Modelling on November 8th. Jacob Waples will also be in attendance at the conference. If you're interested in connecting to delve into all things geochemistry, please feel free to reach out and arrange a meeting!
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Job Alert! Life Cycle Geo is hiring an Executive Assistant. We are looking for creative individuals who can help grow our company, our culture, and our client base. A geoscience background is not mandatory but can be an asset. The link for the job application is given below, https://lnkd.in/gzgYHSAb
Executive Assistant - Remote - Indeed.com
indeed.com
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Life Cycle Geo, LLC. was pleased to see the article on data-driven resource modeling written by Steve Sullivan in the AusIMM bulletin. The workflow described by Steve closely matches the environmental block model workflows developed by LCG for its clients. Tom Meuzelaar and Kristin Salzsauler will be presenting this workflow at Tailings and Mine Waste Conference in November. The summary of the workflow is given below: 1. Rule-based data validation (detection limits, outliers) 2. Missing data imputation 3. Standardization of units and data format 4. Data transformation for addressing geochemical closure 5. Employment/derivation of classification codes (e.g., lithology, alteration, environmental [NPR, lag time…], etc.) 6. Unsupervised analysis to identify environmental domains 7. Supervised multivariate proxy analysis to project environmental domains onto the exploration assay dataset 8. Block model development using predicted continuous or categorical data Contact us if you have any questions or would like to chat more! https://lnkd.in/gkNKQTfd
Data driven geology – adopting a data driven culture and reaping the benefits of machine learning
ausimm.com