The first offshore drilling for oil in Texas occurred along Goose Creek, 21 miles southeast of Houston on Galveston Bay. In 1903, John I. Gaillard noticed bubbles coming to the surface of the water. With a match, he confirmed that the bubbles were natural gas, a strong indication of oil deposits. The discovery well was drilled and hit oil on 2 June 1908, at 1600 ft. In 1916, a well at Goose Creek hit a 10,000-barrels-per-day (bbl/day) gusher at a depth of 2017 ft (Figure 1). Initially, that well produced 8000 bbl/day. The community changed overnight as men rushed to obtain leases, to build derricks, and to drill wells. Within two months, the well leveled off to 300 bbl/day. The largest well of the field was Sweet 16, which came in on 4 August 1917, gushing 35,000 bbl/day from a depth of 3050 ft. This well stayed out of control for three days before the crew could close it.
The Goose Creek field is on a deep-seated salt dome with slightly arched overlying beds. When a hurricane hit in 1919, the Goose Creek oil field suffered tremendous property damage. The hurricane's relatively mild 39-mph winds destroyed more than 1450 oil derricks.
At the time of the Goose Creek discoveries, the proper equipment for finding new oil fields included a Brunton compass, a K&E stadia handbook with Jacob's staff, a 7-ft stadia rod, a small bricklayer's hammer, and of course a couple of matches.
In contrast, this book gives
Figures & Tables
Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing (SEG Geophysical References Series No. 15), covers the basic ideas and methods used in seismic processing, concentrating on the fundamentals of seismic imaging and deconvolution. Most chapters are followed by problem sets. Some exercises supplement textual material; others are meant to stimulate classroom discussions. Text and exercises deal mostly with simple examples that can be solved with nothing more than pencil and paper. The book covers wave motion; digital imaging; digital filtering; various visualization aspects of the seismic reflection method; sampling theory; the frequency spectrum; synthetic seismograms; wavelets and wavelet processing; deconvolution; the need for continuing interaction between the seismic interpreter and the computer; seismic attributes; phase rotation; and seismic attenuation. The last of the 15 chapters gives a detailed mathematical overview. Digital Imaging and Deconvolution, nominated for the Association of Earth Science Editors award for best geoscience publication of 2008–2009, will interest professional geophysicists, graduate students, and upper-level undergraduates in geophysics. The book also will be helpful to scientists and engineers in other disciplines who use digital signal processing to analyze and image wave-motion data in remote-detection applications. The methods described are important in optical imaging, video imaging, medical and biological imaging, acoustical analysis, radar, and sonar.