DANIEL E MILLER, II
Electrician at Killdeer Ct, Humble, TX

6661226, Dec 9, 2003

Aug 10, 2000

09/636502

Lei Bob Hou - Houston TX
Daniel Lee Miller - Kingwood TX
James Elmer Galford - Missouri City TX
George Richard Coates - Bellville TX
Prabhakar Aadireddy - Houston TX

Halliburton Energy Services, Inc. - Houston TX

G01V 300

324303

Borehole NMR logging apparatus and methods. A multifrequency method using triple-wait-time is disclosed for determining gas- and light-oil-filled porosity over a broad range of reservoir conditions. The method improves the signal-to-noise ratio and the determination of T values for the hydrocarbons, especially when the reservoir contains different fluid types. A set of conditions is derived for the selection of optimum acquisition parameters for logging applications. The data acquisition and processing method enables accurate determination of the pore volumes occupied by each hydrocarbon phase as well as the pore volume occupied by water, as well as accurate T. A set of conditions is developed to aid in the selection of wait-time combinations appropriate for logging conditions.

6541969, Apr 1, 2003

Dec 14, 2000

09/736754

Richard F. Sigal - Spring TX
Ron Cherry - Kingwood TX
Peter Ian Day - Houston TX
James Elmer Galford - Missouri City TX
John C. Bouton - Doylestown PA
Ridvan Akkurt - Kingwood TX
Daniel Lee Miller - Kingwood TX
Manfred G. Prammer - Downingtown PA

Halliburton Energy Services, Inc. - Houston TX

G01V 300

324303

An method and system are disclosed for NMR echo-train data acquisition and processing for enhanced vertical resolution for a given signal to noise ratio. In one aspect, the method is based on providing an estimate of non-formation signal components and removing the estimate from the NMR signals. Computation of the estimate is done from the data itself or using a direct measurement of non-formation signals. In another aspect, the functions of reducing coherent noise components is separated from the function of reducing the random noise components, to enhance the resolution of the NMR pulse echo data for a given signal to noise ratio (SNR) of the data. Combination processing is disclosed, which enables efficient filtering of the input NMR data for both relatively high and relatively low SNR of the formation data.

5696448, Dec 9, 1997

Jun 26, 1995

8/494507

George R. Coates - Austin TX
Duncan Mardon - Kingwood TX
Daniel L. Miller - Kingwood TX

Numar Corporation - Malvern PA

G01V 332

324303

A simple, pore-level model for diffusion and NMR relaxation of oil-water mixtures in water wet pores has been developed. In addition to lending physical insight into the relaxation time behavior of mixed pore fluids, the model can be used to generate a practical tool for interpreting diffusion log data, i. e. , a T2 vs. D cross plot. Locating points on the cross plot simultaneously yields the near wellbore water saturation and the rock pore size. For light oils, T2 is shown to be mainly a pore size indicator whereas D is controlled mainly by Sw. The pore size "resolution" decreases as oil viscosity and/or Sw decreases. A preliminary verification of the model has been made with limited core data and the results of applying the model to interpreting NMR log data are encouraging. The capability to separate the effects of pore size from fluid saturation on NMR response of pore fluids indicates an important potential advantage of the T2 and D measurement combination over standard T2 logging for characterizing formation pore size and related reservoir flow properties.

6903547, Jun 7, 2005

Mar 31, 2003

10/403401

Richard F. Sigal - Spring TX, US
Ron Cherry - Kingwood TX, US
Peter Ian Day - Houston TX, US
James Elmer Galford - Missouri City TX, US
John C. Bouton - Doylestown PA, US
Ridvan Akkurt - Kingwood TX, US
Daniel Lee Miller - Kingwood TX, US
Manfred G. Prammer - Downingtown PA, US

Halliburton Energy Services, Inc. - Houston TX

G01V003/00

324303

An method and system are disclosed for NMR echo-train data acquisition and processing for enhanced vertical resolution for a given signal to noise ratio. In one aspect, the method is based on providing an estimate of non-formation signal components and removing the estimate from the NMR signals. Computation of the estimate is done from the data itself or using a direct measurement of non-formation signals. In another aspect, the functions of reducing coherent noise components is separated from the function of reducing the random noise components, to enhance the resolution of the NMR pulse echo data for a given signal to noise ratio (SNR) of the data. Combination processing is disclosed, which enables efficient filtering of the input NMR data for both relatively high and relatively low SNR of the formation data.