While at Texas A&M, he taught 97 courses and served on more than 175 graduate committees during his tenure. Holditch received several awards from Texas A&M. He was elected into the Petroleum Engineering Academy of Distinguished Graduates in 1998, named a Texas A&M Distinguished Alumni in 2014, and named to the Corps of Cadet’s Hall of Honor in 2016. An endowed chair was also created to honor him in 2012 by many of his former students, the Stephen A. Holditch ’69 Department Head Chair in Petroleum Engineering, which is currently held by Jeff Spath.
Holditch held various leadership positions in SPE, including vice president–finance, member of the Board of Directors from 1998-2003, and SPE president in 2002. He received numerous awards in recognition of his technical achievements and leadership. In 1995 he was elected to the National Academy of Engineering at the age of 49, and in 1997 he was inducted into the Russian Academy of Natural Sciences. He was elected as an SPE and AIME Honorary Member in 2006. He received some of SPE’s highest technical awards, including the Lester C. Uren Award, John Franklin Carll Award, and Anthony F. Lucas Medal. He published over 150 technical papers.
From 1999-2003, Holditch was a Schlumberger Fellow where he was a Production and Reservoir Engineering advisor to the top managers within Schlumberger. Holditch was President of S. A. Holditch & Associates, Inc. from 1977-99, a full service petroleum engineering consulting firm. His firm provided petroleum engineering technology involving the analysis of low permeability gas reservoirs and the design of hydraulic fracture treatments for various industrial and government clients. Holditch also has been a production engineer at Shell Oil Company in charge of workover design and well completions
Holditch received his B.S. in 1969, a M.S. in 1970 and Ph.D. in 1975 all in Petroleum Engineering from Texas A&M University.
Archna Agrawal, Yao Tian, Stephen A. Holditch, "Shale Gas", Tight Gas Reservoirs, Stephen A. Holditch, John Spivey, John Y. Wang
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Although gas shales have become an important strategic play for many companies, there is still uncertainty in determining the optimal drilling and completion techniques for wells drilled in various shale reservoirs. The industry seems to optimize development in each different play by trial and error. Instead, the industry needs to develop predictive models to help determine the optimal drilling, completion, and stimulation options as functions of the shale reservoir properties and economic conditions. In short, the industry needs to determine best practices for various shale scenarios. Another reason that the compilation of knowledge and data transfer are so imperative is that our workforce is aging, and many of the personnel working in the oil and gas industry will reach retirement age relatively soon; hence, without proper documentation, much of the knowledge needed to develop unconventional gas reservoirs will retire with those employees.
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