Reforming the offshore oil and gas program: rediscovering the public's interests in the outer continental shelf lands

1996 ◽  
Vol 30 (1) ◽  
pp. 1-42 ◽  
Author(s):  
Charles Lester
1974 ◽  
Vol 188 (1) ◽  
pp. 11-24 ◽  
Author(s):  
L. C. Allcock

Development of offshore oil and gas production from the continental shelf and in even deeper water will be dependent on engineers. It is of primary importance to understand the nature of the oil and gas production industry in order to follow more clearly the contribution that will be required from many of the professional branches of engineering, and a great deal of new technology must be developed in order that the problems of the future may be overcome. The difficulty may not be in defining the future engineering of oil and gas development but in finding engineers in sufficient numbers to meet the demand.


1978 ◽  
Vol 18 (02) ◽  
pp. 87-95 ◽  
Author(s):  
Elmer L. Dougherty ◽  
John Lohrenz

Abstract This study of Outer Continental Shelf (OCS) bid data, plus a critical analysis of other such studies, was made to determine the impact of joint bidding on competitiveness of OCS lease sales, It concludes that no class of joint bids has been shown to reduce the level of competition. Banning joint bidding by two or more major oil companies did result in an abrupt increase in the number of pint bids that included one major. Introduction Sealed, competitive bids for U.S. offshore oil and gas leases are classed as either solo or joint bids. Solo bids are submitted by one bidder with 100-percent ownership. Joint bids are submitted by several bidders who divide ownership among themselves. The pragmatic question that triggered this study was, "Is there a kind of solo or joint bid whose occurrence tends to decrease the number of sealed, competitive bids?" Such a bid would lower the level of competition. This study reports the results of a statistical analysis to measure the impact of joint bidding on the level of competition in sales of U.S. oil and gas leases. The study first presumed that the level of competition increases as the number of competing bids increases. This presumption while not unassailable, also was not unreasonable. Three previous studies of solo and joint bidding were reviewed first, revealing that conclusions drawn by two of the studies are statistically unsupported. Our study of the pragmatic question found no consistent correlation supporting a positive answer to the question. The U.S. policy regulation proscribing joint bids involving two or more majors tended to broaden the proportion and number of bids involving majors. REVIEW OF PREVIOUS STUDIES OF FEDERAL OFFSHORE SOLO AND JOINT BIDS Joint bidding for U.S. offshore oil and gas leases has been seated in previous studies of which three will be reviewed in detail. GASKINS AND VANN Gaskins and Vann computed values of the ratio of the sum of the highest bids to the sum of the U.S. presale estimates, Fmax/est, for leases that presale estimates, Fmax/est, for leases that received the same number(s) of bids. Precise definition of Fmax/est is given in the Nomenclature. Gaskins and Vann observed that values of F increased with n, from which they concluded the "government gets a larger percentage of its estimated value when there are more bidders." For the March 28, 1974, sale, Gaskins and Vann calculated Fmax/est for four different categories of highest bids:all bids,bids in which only nonmajors were involved,bids in which one or more majors were involved, andbids in which Mobil Oil Corp. was a participant. (No list was given of which bidders are classed as major.) Values of Fmax/est when majors and/or Mobil were involved in the highest bid were more often lower than for the other categories of highest bids. From this, Gaskins and Vann concluded that the "data support the hypothesis that major oil companies, and Mobil in particular, were able to attain lower winning bids..." We recalculated values of F,../est for the March 28, 1974, sale. These are shown in Table 12 along with comparable values of Fm../mean and Fmean/est. The agreement between values of Fmax/est presented by Gaskins and Vann and in Table 1 is excellent in most cases. Some of the differences, however, may be explained by differing definitions of majors. We considered these eight companies as major: Amoco International Oil Co., British Petroleum Ltd., Chevron U.S.A. Inc., Exxon Corp., Gulf Oil Corp., Mobil Oil Corp., Shell Oil Co., Texaco Inc. Other differences may be caused by disagreements in source data and/or computations.


2019 ◽  
Vol 95 (4) ◽  
pp. 463-476 ◽  
Author(s):  
Milton S Love

This paper serves as an introduction to a symposium on the role that California oil and gas platforms serve as habitats for fishes and invertebrates. As of 2019, there are 27 platforms in state and federal waters off California, and the decommissioning of some of these platforms is imminent. Thus, consideration of whether to completely remove a platform or cut it off at some depth below the sea surface and retain the submerged portion as a reef is a decision that will occur in the near future. The objectives of the 10 papers in this dedicated issue of the Bulletin of Marine Science are to: (1) increase scientific understanding of the inter- and intrarelationships of fish and invertebrate populations at offshore oil and gas platforms and natural reefs within the Southern California Bight; (2) determine the extent of influence of platform assemblages on southern California and the Pacific coast populations of fishes and invertebrates; and (3) synthesize relevant reports, existing peer-reviewed literature, and new data analyses into a single peer-reviewed reference. This introductory paper contains a synopsis of all extant California platforms including information on: (1) the original operator, (2) the current operator of records, (3) the date the platform was installed, (4) the first production date, (5) the platform's distance from shore [including whether it is state or outer continental shelf (OCS) waters], (6) the bottom depth of the platform, (7) the number of well slots, (8) the number of conductors, (9) what the platform produces (oil and/or gas), (10) the platform jacket dimensions [generally at the seafloor (bottom)], (11) the platform's footprint, (12) the midwater surface area, (13) the total removal weight, (14) the platform location, (15) the shell mound size, (16) the shell mound volume, (17) the shell mound height, (18) the center of the shell mound location, and (19) the bottom slope. In addition, we present an overview of all previous research on the biology and ecology of California platform organisms.


Author(s):  
Martin Hassel ◽  
Ingrid Bouwer Utne ◽  
Jan Erik Vinnem

This article presents a new risk model for estimating the probability of allision risk (the impact between a ship under way and a stationary installation) from passing vessels on the Norwegian Continental Shelf (NCS). Offshore petroleum operators on the NCS are required by the Norwegian Petroleum Safety Authority (PSA) to perform risk assessments to estimate the probability of impacts between ships and offshore installations, both for field related and passing (merchant) vessels. This has typically been done using the aging industry standard COLLIDE risk model, but this article presents a new risk model based on a Bayesian Belief Network (BBN) that can replace the old COLLIDE model for passing vessels. The new risk model incorporates a wider range of risk influencing factors (RIFs) and enables a holistic and detailed analysis of risk factors, barrier elements and dependencies. Even though the risk of allision with passing vessels is very small, the potential consequences can be critical. The new risk model is more transparent and provides a better understanding of the mechanisms behind allision risk calculations. The results from the new model are aligned with industry expectations, indicating an overall satisfactory performance. The article discusses several key elements, such as the use of expert judgement to estimate RIFs when no empirical data is available, model sensitivity, and a comparative assessment of the new risk model to the old COLLIDE model.


Sign in / Sign up

Export Citation Format

Share Document