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QUANTUM ENERGY INC (QEGY)
CURRENT_PRICE: $2.34 GET IT N0W!
About the company Quantum Energy is a publicly traded growth orientated oil and gas exploration company. The objective is to seek out and define opportunities that represent a low risk 0pp0rtunity to develop positive cash flow. As well, the company aims to define larger projects that can be developed with Joint Venture partners or be entered into by a Joint Venture.
Red Hot News
QUANTUM ENERGY INC. PURCHASES NEW FACILITY CORSICANA TEXAS.
July 20, 2006 Quantum Energy, Inc. (QEGY) announced that its joint venture partner, JMT Resources, Ltd. has entered into a contract to purchase a ten acre facility yard in Corsicana, Texas. The acquisition was formerly the facilities yard for Mobile Oil, and is adjacent to the Corsicana Field, which it operates. The site contains an assortment of oil field equipment that the joint venture partnership will utilize in its field operations. The acquisition also gives the JV partnership surface ownership of its water injection disposal well, which is in the permitting process with the Texas Railroad Commission. Ownership of this parcel will reduce operating costs; it will also give the JV partnership the option to add more injection disposal wells on this site, while housing its own redevelopment operations.
Due to the substantially increased Barnett Shale drilling activities in Johnson and surrounding counties, there is an enormous need for disposal options of high chloride (salt) water, which is used in the stimulation of Barnett Shale wells. Operators in the area are required to dispose of this treated water in sanctioned disposal zones. In this area, the zone most prevalently used is the Woodbine, which is the depth of the well the partnership is currently permitting. Demand for disposal facilities is substantial. Operators have resorted to trucking their treated water several hours from location for disposal. Current disposal rates are $2 per barrel and trucks will carry 150 to 200 barrel capacities. It is estimated that the JV partnership will be able to dispose of approximately 5,000 barrels of treated water per day. This operation will allow the JV partnership to attain substantial cash flow from this ancillary oil field operation reducing its reliance on outside capital!
. It is expected that the water disposal well will be operational during the fourth quarter of 2006. This facility would also be available for disposal of waste water recovered from the Nacatoch wells in the JV Polymer project as well. Ultimately, the disposal fluid from the polymer will be quite significant once the project passes from the pilot phase into full development. Correspondingly, the availability of the water disposal well that is owned by the JV partnership will lead to reduced costs and higher efficiencies.
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usually u draw the bernoulli. if u get a 1 u draw from one normal. Get a 0 u take a draw from the other. The two normals would have different parameters.
Gary
-----Original Message-----
From: Holger Lutz Kern <hlk23(a)cornell.edu>
Date: Sunday, Jul 23, 2006 8:23 pm
Subject: [gov2001-l] how to generate random deviates from a mixture of distributions?
Hi all,
does anyone know a quick (or not so quick) way to generate random deviates from a mixture of distributions? I'd like to generate a random multivariate sample - one variable is normally distributed and the other two Bernoulli - with a specific var-covar matrix. If all variables were normal, I could just use mvtnorm(). But what can I do in this case? (I thought about using Metropolis-Hastings or something like this, but maybe there is a better way of doing this...?) Any suggestions would be very welcome.
cheers,
Holger
-- Holger Lutz Kern
Graduate Student
Department of Government
Cornell University
Institute for Quantitative Social Science
Harvard University
1737 Cambridge Street N350
Cambridge, MA 02138
www.people.cornell.edu/pages/hlk23
_______________________________________________
gov2001-l mailing list
gov2001-l(a)lists.fas.harvard.edu
http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l
Hi all,
does anyone know a quick (or not so quick) way to generate
random deviates from a mixture of distributions? I'd like to
generate a random multivariate sample - one variable is
normally distributed and the other two Bernoulli - with a
specific var-covar matrix. If all variables were normal, I
could just use mvtnorm(). But what can I do in this case? (I
thought about using Metropolis-Hastings or something like
this, but maybe there is a better way of doing this...?) Any
suggestions would be very welcome.
cheers,
Holger
--
Holger Lutz Kern
Graduate Student
Department of Government
Cornell University
Institute for Quantitative Social Science
Harvard University
1737 Cambridge Street N350
Cambridge, MA 02138
www.people.cornell.edu/pages/hlk23
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