以澳大利亚库珀盆地二叠系Roseneath组和Muteree组页岩样品及测井数据为基础,综合利用地球化学分析、测井解释和岩心分析技术对Roseneath组和Muteree组页岩进行矿物模拟及岩石物性参数研究,评估这两套页岩的页岩气资源潜力。综合岩心和岩屑样品分析得到的沉积学、岩相学、扫描电镜(SEM)和X射线衍射(XRD)数据,建立目的层矿物模型;基于岩心和岩屑的常规岩心分析结果、伽马测井资料、扫描电镜分析结果、XRD分析结果、地球化学和岩相学分析结果,针对关键井进行岩石物理建模。利用所建模型对两套页岩进行矿物成分模拟和岩石物性参数分析。Roseneath组页岩和Murteree组页岩均由黏土、石英、碳酸盐和干酪根组成,还含有少量副矿物,如长石、菱铁矿等。根据孔隙度、渗透率、TOC、含水饱和度、矿物组成等结果判断,Murteree组页岩在盆地范围内的资源潜力比Roseneath组页岩更好,潜力区在Encounter 1井区及其周边地区。图6表4参14
JADOON Quaid Khan
,
ROBERTS Eric
,
BLENKINSOP Tom
,
WUST Raphael
,
SHAH Syed Anjum
. 澳大利亚库珀盆地二叠系Roseneath组与Murteree组页岩矿物模拟及岩石物性参数[J]. 石油勘探与开发, 2016
, 43(2)
: 253
-260
.
DOI: 10.11698/PED.2016.02.11
To estimate the resources of Permian Roseneath and Murteree gas shales in the Cooper Basin, Australia, geochemical analysis, log interpretation and core analysis techniques were combined to conduct mineralogical modelling and define petrophysical parameters of both formations. With the sedimentologic, petrographic, SEM and XRD data derived from analysis of cores and cuttings, a mineralogical model was built for target formations. Moreover, based on the results of conventional core analysis, GR logging, SEM analysis, XRD analysis, and geochemical and petrographic analysis, a petrophysical model was established for key wells. Then, these models were used to analyse the mineral composition and petrophysical properties of Roseneath and Murteree gas shales. The results show that both Roseneath and Murteree gas shales are composed of clay, quartz, carbonate and kerogen, as well as a small quantity of auxiliary minerals (e.g. feldspar and siderite). According to porosity, permeability, TOC, water saturation, mineral composition and other parameters, it is concluded that Murteree shale has higher potential than Roseneath shale within the basin, especially in the areas in and around Well Encounter 1.
[1] GATEHOUSE C G. Formations of the Gidgealpa Group in the Cooper Basin[J]. Australasian Oil & Gas Review, 1972, 18(1): 10-15.
[2] FIELDING C R, BLACKSTONE B A, FRANK T D, et al. Reservoir potential of sands formed in glaciomarine environments: An analog study based on Cenozoic examples from McMurdo Sound, Antarctica[J]. Geological Society London Special Publications, 2012, 368(1): 211-228.
[3] Department for Manufacturing, Innovation, Trade, Resources and Energy. Cooper and Eromanga consolidated data package[EB/OL]. (2004-06-14)[2015-10-01]. http://www.beachenergy.com.au/IRM/PDF/ 2254/Asian PresentationHongKongandSingapore.
[4] ARCHIE G E. The electrical resistivity log as an aid in determining some reservoir characteristics[J]. Transactions of the American Institute of Mining and Metallurgical Engineers, 1942, 146(3): 54-62.
[5] WORTHINGTON P F. The petrophysics of problematic reservoirs[J]. Journal of Petroleum Technology, 2011, 63(12): 88-97.
[6] WORTHINGTON P F. The direction of petrophysics: A perspective to 2020[J]. Petrophysics, 2011, 52(4): 261-274.
[7] KENNEDY W D, HERRICK D C. Conductivity models for Archie rocks[J]. Geophysics, 2012, 77(3): 423-430.
[8] GLOVER P. Measurements of the photo-electric absorption(PEF) litho-density log for common lithologies[R]. Queensland: James Cook University, 2010.
[9] PASSEY O R, MORETTI F U, STROUD J D. A practical model for organic richness from porosity and resistivity logs[J]. AAPG Bulletin, 1990, 74(12): 1777-1794.
[10] KATHY R B, RICHARD S . A comparative study of the Mississipian Barnet Shale, Fort Worth Basin, and Appalachian Basin[J]. AAPG Bulletin, 2011, 91(4): 475-499.
[11] KRYGOWSKI D A. Guide to petrophysical interpretation[R]. Austin Texas USA: University of Texas at Austin, 2003: 47.
[12] GLORIOSO J C, RATTIA A J. Unconventional reservoirs: Basic petrophysical concepts for shale gas[R]. Australia, Vienna: SPE/EAGE European Unconventional Resources Conference and Exhibition, 2012.
[13] BUST V K, MAJID A A, LETO O, et al. The petrophysics of shale gas reservoirs: Technical challenges and pragmatic solutions[J]. Petroleum Geoscience, 2013, 19(2): 91-103
[14] GUIDRY F K, LUFFEL D L, OLSZEWSKL A J. Devonian shale formation evaluation model based on logs, new core analysis methods, and production tests[R]. Lafayette, Louisiana: SPWLA 31st Annual Logging Symposium, 1990.