No abstract

Advances in data capture and computer technology have made possible the collection of 3D high-resolution surface and subsurface digital geological data from outcrop analogues. This paper describes research to obtain the 3D distribution and internal sedimentary architecture of turbidite channels and associated sediments at a study site in the Peak District National Park, Derbyshire, UK. The 1D, 2D and 3D digital datasets included Total Station survey, terrestrial photogrammetry and remote sensing, sedimentary logs and a Ground Penetrating Radar (GPR) dataset. A grid of 2D GPR profiles was acquired behind a cliff outcrop; electromagnetic reflection events correlated with cliff face sedimentary horizons logged by Vertical Radar Profiling. All data were combined into a Digital Solid Model (DSM) dataset of the site within reservoir modelling software.The DSM was analysed to extract 3D architectural geometries for petroleum reservoir models. A deterministic base model was created using all information, along with a suite of heterogeneous turbidite reservoir models, using 1D, 2D or 3D information. The model suite shows significant variation from the deterministic model. Models built from 2D information underestimated connectivity and the continuity of geobodies, but overestimated channel sinuosity. Advantages of using 3D digital outcrop analogue data for 3D reservoir models are detailed.

No abstract

Petroleumreservoirmodelsarecurrentlybuiltfrom two-dimensional( 2-D)i nformation. Anunderstanding of boththe large-scale and internalthree-dimensional( 3-D)architectureo fturbiditechannel deposits isimportantforbothh ydrocarbon exploration and production. Aground penetrating radar(GPR)surveyw asu ndertaken on astudys itee xposing UpperCarboniferous Ross Formation deposits in westernIreland. Bothchannel marginsand intrachannel fill wereimaged in 3-D.Constant-offset,2-Dreflection sectionswerecalibrated byverticalradar profiles.GPR datawerei ntegrated withsedimentary and surveydatatop roducea3-Dmodel of the studys ite.Inp etroleumreservoirs,highlydetailed,downborehole information constrainsnear-well geology, but onlyavery small amountof the reservoiris sampled. Wherespacing between wellsisrelatively large (typicalvaluesin the NorthSeab eing 1000 m,Henson pers.comm.),the inter-well volume ispoorlyu nderstood. Conventionalseismic datasets overr eservoirs cani dentifylarge-scale sedimentary features,suchas15-25m-thicksand bodiesobserved on moderate-quality twodimensional( 2-D)seismiclines(Weber1993

No abstract