The Experts below are selected from a list of 60 Experts worldwide ranked by ideXlab platform
S Ellingsrud - One of the best experts on this subject based on the ideXlab platform.
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exploring frontier areas using 2d seismic and 3d csem data as exemplified by multi client data over the skrugard and havis discoveries in the barents sea
First Break, 2013Co-Authors: Pal T Gabrielsen, P Abrahamson, Martin Panzner, Stein Fanavoll, S EllingsrudAbstract:There is new and growing enthusiasm for Hydrocarbon exploration in the Barents Sea after three recent discoveries: Skrugard, Havis, and Norvarg. We demonstrate how using wide-azimuth 3D controlled-source electromagnetic (CSEM) and 2D seismic data together can improve the identification of prospective areas in the region. An interpretation workflow is presented to show how the challenging resistivity background in the Barents Sea is handled. To do this, we introduce a new inversion attribute called the anomalous vertical resistivity. The inversion attribute is co-visualized with 2D seismic data and used to estimate recoverable Reserves. The workflow is illustrated on both synthetic and real data for the Skrugard and Havis discoveries. Both discoveries are identified on CSEM maps and by integrating CSEM data with seismic data. In addition, a new lead is identified. We show that CSEM data carries structural information and that the horizontal resistivity trends can be used with 2D seismic data and well logs to interpret the distribution of good-quality sands. Hydrocarbon Reserve calculations based on the 3D CSEM data for the Skrugard and Havis discoveries have P50 values consistent with the publicly available Reserve estimates. The Reserve estimate for the new lead also shows significant potential.
Pal T Gabrielsen - One of the best experts on this subject based on the ideXlab platform.
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exploring frontier areas using 2d seismic and 3d csem data as exemplified by multi client data over the skrugard and havis discoveries in the barents sea
First Break, 2013Co-Authors: Pal T Gabrielsen, P Abrahamson, Martin Panzner, Stein Fanavoll, S EllingsrudAbstract:There is new and growing enthusiasm for Hydrocarbon exploration in the Barents Sea after three recent discoveries: Skrugard, Havis, and Norvarg. We demonstrate how using wide-azimuth 3D controlled-source electromagnetic (CSEM) and 2D seismic data together can improve the identification of prospective areas in the region. An interpretation workflow is presented to show how the challenging resistivity background in the Barents Sea is handled. To do this, we introduce a new inversion attribute called the anomalous vertical resistivity. The inversion attribute is co-visualized with 2D seismic data and used to estimate recoverable Reserves. The workflow is illustrated on both synthetic and real data for the Skrugard and Havis discoveries. Both discoveries are identified on CSEM maps and by integrating CSEM data with seismic data. In addition, a new lead is identified. We show that CSEM data carries structural information and that the horizontal resistivity trends can be used with 2D seismic data and well logs to interpret the distribution of good-quality sands. Hydrocarbon Reserve calculations based on the 3D CSEM data for the Skrugard and Havis discoveries have P50 values consistent with the publicly available Reserve estimates. The Reserve estimate for the new lead also shows significant potential.
L O Ademilua - One of the best experts on this subject based on the ideXlab platform.
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integration of well log analysis and 3 d seismic in Reserve estimation of Hydrocarbon bearing sands in q field niger delta nigeria
Journal of environment and earth science, 2015Co-Authors: O G Bayowa, Q A Masud, A W Lawal, L O AdemiluaAbstract:Well log analysis and 3D seismic interpretation were effectively integrated to estimate Hydrocarbon Reserve in Q-field, Niger-Delta, Nigeria. The study objectives were to evaluate petrophysical parameters (net-pay thickness, porosity, water saturation and volume of shale) and estimate area extent of all Hydrocarbon bearing sands from subsurface mapping and seismic interpretation.The workflow procedures for analysis involved the delineation of six Hydrocarbon bearing sands (A, B, C, D, E and F) and the determination of petrophysical parameters from three well logs, while the 3-D seismic interpretation involved picking of three growth faults (A, B and C) as well as three antithetic faults(D, E and F). The faults were assigned, and four different horizons were picked along the fault planes cutting through sands A, B, D and E respectively. The horizons were interpolated through series of procedures to create isomap layers and were subsequently gridded and converted to generate both time and depth structure maps.The results from well log analysis showed that Q-field had average values of 114.5 feet, 21.0%, 25.2%, and 18.0% for the net-pay thickness, porosity, water saturation and volume of shale respectively while 3-D seismic interpretation showed area estimate of 8,557.44 acres, 1,830.78 acres, 1,680.31 acres, and 2,035.17 acres for sands A, B, D and E respectively.The study concluded that Q-field bears considerable amount of about 284.852 million barrel of oil Reserve which could be exploited for commercial uses at profitable rate and about 1.72 billion cubic feet of original gas in-place.
Ajibola Rasidat Oyebamiji - One of the best experts on this subject based on the ideXlab platform.
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Seismic interpretation and petrophysical analysis for Hydrocarbon resource evaluation of ‘Pennay’ field, Niger Delta
Journal of Petroleum Exploration and Production Technology, 2019Co-Authors: Akindeji Opeyemi Fajana, Michael Ayuk Ayuk, Pius Adekunle Enikanselu, Ajibola Rasidat OyebamijiAbstract:Seismic interpretation and petrophysical assessment of borehole logs from seven wells were integrated with the aim of establishing the Hydrocarbon Reserves prior to field development which will involve huge monetary obligation. Four Hydrocarbon-bearing sands, namely Pennay 1, 2, 3 and 4 were delineated from borehole log data. Four horizons corresponding to near top of mapped Hydrocarbon-bearing sands were used to produce time maps and then depth structural maps using checkshot data. Three major structure-building faults (F2, F3 and F5 which are normal, listric concave in nature) and two antithetic (F1 and F4) were identified. Structural closures identified as rollover anticlines and displayed on the time/depth structure maps suggest probable Hydrocarbon accumulation at the upthrown side of the fault F4. Petrophysical analysis of the mapped reservoirs showed that the reservoirs are of good quality and are characterized with Hydrocarbon saturation ranging from 56 to 72%, volume of shale between 7 and 20% and porosity between 25 and 31%. Pennay 2 and 3 have a better relative petrophysical ranking compared to other mapped reservoirs in the study area. Dissimilarity in the petrophysical parameters and the uncertainty in the reservoir properties of the four reservoirs were considered in calculating range of values of gross rock volume (GRV) and oil in place volume. This research study revealed that the discovered Hydrocarbon Reserve resource accumulations in the Pennay field for the four-mapped reservoir sand bodies have a total proven (1P) Reserve resource estimate of 53.005MMBO at P90, 59.013MMBO at 2P/P50 and 65.898MMBO at 3P/P10. Reservoir C, the only interval with a gas cap, has a volume of 7737MMscf of free gas at 1P, 8893.2MMscf at 2P and 10185.2MMscf at 3P. These oil and gas volumetric values yield at 1P/ P90 total of 137.30MMBOE, 154.9MMBOE at 2P and 171.515MMBOE at 3P. Reservoirs B and D have the highest recoverable oil at 1P, 2P, and 3P values of 5.265MMBO and 10.70MMBO, 12.053MMBO and 5.783MMBO, 13.557MMBO and 6.244MMBO, respectively.
P Abrahamson - One of the best experts on this subject based on the ideXlab platform.
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exploring frontier areas using 2d seismic and 3d csem data as exemplified by multi client data over the skrugard and havis discoveries in the barents sea
First Break, 2013Co-Authors: Pal T Gabrielsen, P Abrahamson, Martin Panzner, Stein Fanavoll, S EllingsrudAbstract:There is new and growing enthusiasm for Hydrocarbon exploration in the Barents Sea after three recent discoveries: Skrugard, Havis, and Norvarg. We demonstrate how using wide-azimuth 3D controlled-source electromagnetic (CSEM) and 2D seismic data together can improve the identification of prospective areas in the region. An interpretation workflow is presented to show how the challenging resistivity background in the Barents Sea is handled. To do this, we introduce a new inversion attribute called the anomalous vertical resistivity. The inversion attribute is co-visualized with 2D seismic data and used to estimate recoverable Reserves. The workflow is illustrated on both synthetic and real data for the Skrugard and Havis discoveries. Both discoveries are identified on CSEM maps and by integrating CSEM data with seismic data. In addition, a new lead is identified. We show that CSEM data carries structural information and that the horizontal resistivity trends can be used with 2D seismic data and well logs to interpret the distribution of good-quality sands. Hydrocarbon Reserve calculations based on the 3D CSEM data for the Skrugard and Havis discoveries have P50 values consistent with the publicly available Reserve estimates. The Reserve estimate for the new lead also shows significant potential.