Bruno Langlois

USPTO Granted Patents = 25 (Patent Applications = 2)

CIPO Patents = 6

EPO Patents = 6 (Patent Applications = 7)

Average Co-Inventor Count = 3.8

ph-index = 8

Forward Citations = 182(Granted Patents)

Location History:

Des Bois, FR (2002)
Sainte-Geneviève-des-Bois, FR (2003)
Sainte Genevieve des Bois, FR (1998 - 2007)
Sainte, Genevieve des Bois, FR (2007)
Paris, FR (2008 - 2020)

Company Filing History:

Schlumberger Technology Corporation

patents

6. 1 out of 2,424

Institut Francais Du Pe'trole

patents

where one patent can have more than one assignee

Years Active: 1998-2020

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25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10633579 - Use of environmentally friendly solvents to replace glycol-based solvents (2020-04-28),

2. 9732213 - Rheology modifier compositions and methods of use (2017-08-15),

3. 9617503 - Method for modifying the properties of an aqueous suspension (2017-04-11),

4. 8969261 - Rheology modifier compositions and methods of use (2015-03-03),

5. 8003575 - Scale squeeze treatment systems and methods (2011-08-23),

6. 7915204 - Scale squeeze treatment systems and methods (2011-03-29),

7. 7789144 - Methods for recovering oil from an oil reservoir (2010-09-07),

8. 7784540 - Method for recovering oil from an oil reservoir (2010-08-31),

9. 7779913 - Methods for recovering oil from an oil reservoir (2010-08-24),

10. 7770642 - Methods for recovering oil from an oil reservoir (2010-08-10),

11. 7703516 - Stimulating oilfields using different scale-inhibitors (2010-04-27),

12. 7461694 - Methods for recovering oil from an oil reservoir (2008-12-09),

13. 7247604 - Oil-based drilling fluid comprising a temperature-stable and non-polluting emulsifying system (2007-07-24),

14. 7244782 - Composition, for use in coatings, based on a mixture of emulsion(s) and of dispersion(s) of polyolpolymer and coating(s) produced therefrom (2007-07-17),

15. 6972308 - Composition, for use in coatings, based on a mixture of emulsion(s) and of dispersion(s) of polyol polymer and coating(s) produced therefrom (2005-12-06),

Title: Bruno Langlois: Innovator in Environmentally Friendly Oil Field Applications

Introduction

Bruno Langlois, a prolific inventor based in Paris, France, holds a remarkable portfolio of 25 patents. His contributions to the field of environmentally friendly solvents and fluid compositions have positioned him as a significant figure in the oil and chemical industries.

Latest Patents

Among his latest innovations is a method for replacing glycol-based mutual solvents in oil field applications. This patent focuses on obtaining alternative solvents and solvent blends that effectively replace portions of glycol-based formulations. This groundbreaking approach offers a sustainable solution for oil field operations. Another notable patent from Langlois is a composition designed to enhance fluid viscosity. This consists of a mixture of at least one cationic or cationizable polymer and one anionic or anionizable polymer. The unique properties of these compositions allow for superior salt tolerance and viscosity enhancement at extreme temperatures, making them applicable in hydraulic fracturing, enhanced oil recovery, and even personal care products.

Career Highlights

Langlois has made significant contributions during his tenure at companies such as Rhodia Limited and Rhodia Operations. His work at these organizations has underscored his commitment to innovation and sustainability within the chemical engineering domain.

Collaborations

Throughout his career, Langlois has collaborated with distinguished professionals, including Gilles Guerin and Paul-Joel Derian. These partnerships have facilitated the exchange of ideas and propelled advancements in their respective fields.

Conclusion

Bruno Langlois continues to be a driving force for innovation in the development of environmentally safe chemical solutions for the oil and gas industry. His patents not only reflect his expertise but also highlight the importance of sustainability in modern industrial practices.

This text is generated by artificial intelligence and may not be accurate.