Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Exploration in the Gulf has progressively moved farther and farther offshore. Initially oil companies concentrated on the shelf and then moved into the deep water and the Miocene trend. The Miocene is a well established trend with a considerable amount of producing acreage. With the acquisition and processing of data farther offshore, attention has switched to a new trend in the Lower Tertiary. The Lower Tertiary sits beneath the Miocene and is older. The Tertiary time period includes Pliocene, Miocene, Eocene and Paleocene. We tend to lump everything below the Miocene into what we call the Lower Tertiary because our Wilcox sands are Paleocene and Eocene in age. Most of the cumulative GOM production has been Miocene in age. This is an emerging play in the deepwater Gulf of Mexico, to date there have been 12 announced discoveries out of 19 wells drilled (Figure 1). This trend data is only for Alaminos Canyon, Keathley Canyon and Walker Ridge. There are additional penetrations along trend to the northeast. There is a contradiction between traditional interpretation and NMR data in the Lower Tertiary. An NMR log (CMR) was run with the aim of identifying the best reservoir intervals of Porosity, Swir, and Permeability. The NMR log has many responses depending on the borehole fluid, free fluid and viscosity. These results will be discussed.Oil bearing interval with Swir higher than SwCMR porosity undercalled in oil-bearing intervalLittle free fluid in oil-bearing intervalCalibration of Klog permeability to core Traditional logs indicate the presence and quantity of oil, but provide no information on its quality. NMR is sensitive to oil viscosity. NMR can be misleading in the presence of viscous oil as the oil signal can overlie the bound fluid volumes, resulting in the incorrect evaluation of the reservoir in an oil base mud system. The NMR must be used with caution in an oil base mud system (OBM).
Exploration in the Gulf has progressively moved farther and farther offshore. Initially oil companies concentrated on the shelf and then moved into the deep water and the Miocene trend. The Miocene is a well established trend with a considerable amount of producing acreage. With the acquisition and processing of data farther offshore, attention has switched to a new trend in the Lower Tertiary. The Lower Tertiary sits beneath the Miocene and is older. The Tertiary time period includes Pliocene, Miocene, Eocene and Paleocene. We tend to lump everything below the Miocene into what we call the Lower Tertiary because our Wilcox sands are Paleocene and Eocene in age. Most of the cumulative GOM production has been Miocene in age. This is an emerging play in the deepwater Gulf of Mexico, to date there have been 12 announced discoveries out of 19 wells drilled (Figure 1). This trend data is only for Alaminos Canyon, Keathley Canyon and Walker Ridge. There are additional penetrations along trend to the northeast. There is a contradiction between traditional interpretation and NMR data in the Lower Tertiary. An NMR log (CMR) was run with the aim of identifying the best reservoir intervals of Porosity, Swir, and Permeability. The NMR log has many responses depending on the borehole fluid, free fluid and viscosity. These results will be discussed.Oil bearing interval with Swir higher than SwCMR porosity undercalled in oil-bearing intervalLittle free fluid in oil-bearing intervalCalibration of Klog permeability to core Traditional logs indicate the presence and quantity of oil, but provide no information on its quality. NMR is sensitive to oil viscosity. NMR can be misleading in the presence of viscous oil as the oil signal can overlie the bound fluid volumes, resulting in the incorrect evaluation of the reservoir in an oil base mud system. The NMR must be used with caution in an oil base mud system (OBM).
Exploration in the Gulf of Mexico has progressively moved farther and farther offshore. Initially oil companies concentrated on the shelf and then moved into the deep water and the Miocene trend. With the acquisition and processing of data farther offshore, attention has switched to a new trend in the Lower Tertiary. This is an emerging play in the deepwater Gulf of Mexico, to date there have been 12 announced discoveries out of 19 wells drilled. Geoscientists expect to see well developed stacked turbidites that define basin floor fans. This trend data is only for Alaminos Canyon, Keathley Canyon and Walker Ridge. Shale is a mud rock that can have an extremely variable assortment of minerals, and is usually a nonreservoir rock. This kind of sedimentary rock contains a significant volume of clay minerals has many types of clay minerals with widely varying different compositions and log responses. So estimations of shale/clay volume carry large uncertainties. For our purposes we will assume the minerals in the shale are the clay minerals, plus the same minerals that are in the adjacent "sand" seen by the ECS mineral model. With help from the integration of spectroscopy and triple-combo logs, the important variable the apparent grain density, can be calculated as a function of the 4 measured elements Si, Ca, Fe and S. This method becomes even more certain when the method is calibrated to a core data base to correlate the weight fractions of elements. We will convert bulk density, and with grain density from SI, FE, CA and S to porosity. Mr. Herron's paper SPE 77631 gives the formulas for this methodology for four types of combinations of non-arkose, sub-arkose and arkose. The advantages and shortcomings of this method will be discussed and how they involve the spectrometer measurements with the element-mineral relationships. It is extremely important to have core with porosity, grain density, water saturation and permeability. But the key information from the core is quantitative XRD to truly have confidence in the significance of this method.
High potential of tight sands (quartzitic sandstones) makes these non-conventional reservoirs a priority for oil companies during next decades. Due to numerous formation evaluation challenges in tight sands, conventional logging does not allow reliable and comprehensive investigations that are essential for exploration and development. Classical logging techniques/measurements are frequently affected by significant uncertainties, leading sometimes to erroneous evaluation results. New technology has brought advanced logging methods improving accuracy and reducing uncertainties of reservoir evaluation and characterization. Efficient implementation of these techniques is explained considering resolution/precision and limitations of measurement physics. Best practices for logging in this type of formation are recommended with guide-lines and examples. Depending on well category (exploration, semi-exploration, appraisal or development), appropriate and optimum logging programs can be designed and sequentially performed to acquire full set of necessary data/information. Latest generation of logging tools, in sonic, nuclear magnetic resonance, accelerator-neutron, formation-tester and analysissampling techniques, which offer significantly better evaluation, are proposed in integrated and optimized methodology. All of advanced logging tools may not be needed systematically for all types of wells; selective criteria are analyzed according to defined objectives/needs, reservoir particularities or/and sequential investigation results. Data/information provided by tool answers-measurements are linked to key equations that will be accurately solved in different workflow implemented within the framework of formation evaluation, reserves estimation, completion selection, stimulation design and enhanced production projects. This approach could be considered as guide lines for preparation of specific tool combinations and adequate logging programs fundamental for tight sands potential assessment and important management decisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.