Bureau of Economic Geology

Peer-Reviewed Publications - 2022

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BEG Peer-reviewed Papers In Press

Nikolinakou, M. A., Whittle, A.J., Germaine, J.T., and Zhang, G., 2021, Consolidation properties and structural alteration of Old Alluvium: Acta Geotechnica, http://doi.org/10.1007/s11440-021-01330-6.

Ren, B., Jensen, J., Lake, L. W., Duncan, I. J., and Male, F., 2022, Analysis of Vertical Permeability and Its Influence on CO2 Enhanced Oil Recovery and Storage in a Carbonate Reservoir: SPE Reservoir Evaluation & Engineering, v. 25, 19 p., http://doi.org/10.2118/205995-PA.

BEG Peer-reviewed Papers

Bihani, A., Daigle, H., Santos, J. E., Landry, C., Prodanović, M., and Milliken, K., 2022, MudrockNet: semantic segmentation of mudrock SEM images through deep learning: Computers & Geosciences, v. 158, no. 104952, 10 p., http://doi.org/10.1016/j.cageo.2021.104952.

Bryndzia, L. T., Day-Stirrat, R. J., Hows, A. M., Nicot, J.-P., Nikitin, A., and Huvaz, O., 2022, A geochemical analysis of produced water(s) from the Wolfcamp formation in the Permian Delaware Basin, western Texas: AAPG Bulletin, v. 106, no. 6, p. 1265–1299, http://doi.org/10.1306/01282220180.

Burnham, B. S., Bond, C. E., Flaig, P. P., van der Kolk, D. A., and Hodgetts, D., 2022, Outcrop conservation: promoting accessibility, inclusivity, and reproducibility through digital preservation: The Sedimentary Record, v. 20, no. 1, p. 5–14, http://doi.org/10.2110/sedred.2022.1.2.

Chen, W., Saad, O. M., Oboué, Y. A. S. I., Yang, L., and Chen, Y., 2022, Retrieving the leaked signals from noise using a fast dictionary-learning method: Geophysics, v. 87, no. 1, p. V39–V49, http://doi.org/10.1190/GEO2021-0243.1.

Chen, W., Wang, H., Yang, L., Liu, X., and Chen, Y., 2022, Nonstationary local slope estimation via forward-backward space derivative calculation: Geophysics, v. 87, no. 1, p. N1–N11, http://doi.org/10.1190/GEO2021-0255.1.

Chen, Yangkang, Saad, O. M., Savvaidis, A., Chen, Yunfeng, and Fomel, S., 2022, 3D microseismic monitoring using machine learning: Journal of Geophysical Research: Solid Earth, v. 127, no. 3, article no. e2021JB023842, 27 p., http://doi.org/10.1029/2021JB023842.

Decker, L., and Fomel, S., 2022, A variational approach for picking optimal surfaces from semblance-like panels: Geophysics, v. 87, no. 3, p. U93–U108, http://doi.org/10.1190/geo2021-0336.1.

Eastwood, R. L., and Smye, K. M., 2022, Effects of overpressure on mechanical properties of unconventional shale reservoirs through novel use of a sonic overpressure indicator: Society of Petroleum Engineers Reservoir Evaluation & Engineering, v. 25, no. 1, paper no. SPE-208571-PA, p. 52–60, http://doi.org/10.2118/208571-PA.

Ershadnia, R., Wallace, C. D., Hajirezaie, S., Hosseini, S. A., Nguyen, T. N., Sturmer, D. M., Dai, Z., and Soltanian, M. R., 2022, Hydro-thermo-chemo-mechanical modeling of carbon dioxide injection in fluvial heterogeneous aquifers: Chemical Engineering Journal, v. 431, no. 4, article no. 133451, 23 p., http://doi.org/10.1016/j.cej.2021.133451.

Ge, J., Nicot, J.-P., Hennings, P. H., Smye, K. M., Hosseini, S. A., Gao, R. S., and Breton, C. L., 2022, Recent water disposal and pore pressure evolution in the Delaware Mountain Group, Delaware Basin, Southeast New Mexico and West Texas, USA: Journal of Hydrology: Regional Studies, v. 40, no. 101041, 17 p., http://doi.org/10.1016/j.ejrh.2022.101041.

Geng, Z., Hu, Z., Wu, X., Liang, L., and Fomel, S., 2022, Semisupervised salt segmentation using mean teacher: Interpretation, v. 10, no. 3, p. SE21–SE29, http://doi.org/10.1190/INT-2021-0191.1.

Geng, Z., Zhao, Z., Shi, Y., Wu, X., Fomel, S., and Sen, M., 2022, Deep learning for velocity model building with common-image gather volumes: Geophysical Journal International, v. 228, no. 2, p. 1054–1070, http://doi.org/10.1093/gji/ggab385.

Kaur, H., Zhong, Z., Sun, A., and Fomel, S., 2022, Time-lapse seismic data inversion for estimating reservoir parameters using deep learning: Interpretation, v. 10, no. 1, p. T167–T179, http://doi.org/10.1190/INT-2020-0205.1.

Li, H., Liu, X., Liu, B., Greenhalgh, S., AI-Shuhail, A. A., and Chen, Y., 2022, Bandwidth-insensitive extended centroid frequency-shift method for near-surface Q estimation: Geophysics, v. 87, no. 2, p. V75–V86, http://doi.org/10.1190/geo2021-0110.1.

Loucks, R. G., and Reed, R. M., 2022, Implications for carbonate mass-wasting complexes induced by volcanism from Upper Cretaceous Austin Chalk strata in the Maverick Basin and San Marcos Arch areas of south-central Texas, USA: Sedimentary Geology, v. 432, no. 106120, 18 p., http://doi.org/j.sedgeo.2022.106120.

Nicot, J.-P., Smyth, R. C., Darvari, R., and McKinney, S. T., 2022, New hydrogeochemical insights on a West Texas desert spring cluster: Trans-Pecos Balmorhea-Area Springs: Applied Geochemistry, v. 142, no. 105331, 14 p., http://doi.org/10.1016/j.apgeochem.2022.105331.

Ning, C., Sun, L., Zeng, H., Hu, S., Li, Y., Pan, W., Yao, Z., Yuan, W., and Sun, C., 2022, Characteristics of collapsed subsurface paleokarst systems and controlling factors of subsurface paleokarst development in the Lianglitage Formation, Halahatang oilfield, Tarim Basin, NW China: Marine and Petroleum Geology, v. 137, no. 105488, 18 p., http://doi.org/10.1016/j.marpetgeo.2021.105488.

Peng, J., and Larson, T. E., 2022, A novel integrated approach for chemofacies characterization of organic-rich mudrocks: AAPG Bulletin, v. 106, no. 2, p. 437–460, http://doi.org/10.1306/05112120210.

Peng, J., Fu, Q., and Janson, X., 2022, Dynamic climatic changes during the Late Pennsylvanian icehouse: new insight from high-resolution geochemical records in the Cline Shale, North America: Gondwana Research, v. 106, p. 247–258, http://doi.org/10.1016/j.gr.2022.01.012.

Rateb, A., Scanlon, B. R., and Fakhreddine, S., 2022, How severe is water stress in the MENA region? insights from GRACE and GRACE-FO satellites and global hydrological modeling, in Al Saud, M. M., ed., Applications of space techniques on the natural hazards in the MENA region (ch. 4): Cham, Switzerland, Springer Nature Switzerland, p. 51–65, http://doi.org/10.1007/978-3-030-88874-9_4.

Romanak, K. D., and Dixon, T., 2022, CO2 storage guidelines and the science of monitoring: achieving project success under the California Low Carbon Fuel Standard CCS Protocol and other global regulations: International Journal of Greenhouse Gas Control, v. 113, no. 103523, 10 p., http://doi.org/10.1016/j.ijggc.2021.103523.

Saad, O. M., Chen, Yunfeng, Savvaidis, A., Fomel, S., and Chen, Yangkang, 2022, Real-time earthquake detection and magnitude estimation using vision transformer: Journal of Geophysical Research: Solid Earth, v. 127, no. e2021JB023657, 19 p., http://doi.org/10.1029/2021JB023657.

Saad, O. M., Chen, Yunfeng, Trugman, D., Soliman, M. S., Sami, L., Savvaidis, A., Khamis, M. A., Hafez, A. G., Fomel, S., and Chen, Yangkang, 2022, Machine learning for fast and reliable source-location estimation in earthquake early warning: IEEE Geoscience and Remote Sensing Letters, v. 19, no. 8025705, 5 p., http://doi.org/10.1109/LGRS.2022.3142714.

Scanlon, B. R., Rateb, A., Anyamba, A., Kebede, S., MacDonald, A. M., Shamsudduha, M., Small, J., Sun, A., Taylor, R. G., and Xie, H., 2022, Linkages between GRACE water storage, hydrologic extremes, and climate teleconnections in major African aquifers: Environmental Research Letters, v. 17, no. 1, article no. 014046, 15 p., http://doi.org/10.1088/1748-9326/ac3bfc.

Shakiba, M, Lake, L. W., Gale, J. F. W., and Pyrcz, M. J., 2022, Multiscale spatial analysis of fracture arrangement and pattern reconstruction using Ripley's K-function: Journal of Structural Geology, v. 155, no. 104531, 14 p., http://doi.org/10.1016/j.jsg.2022.104531.

Suriamin, F., and Ko, L. T., 2022, Geological characterization of unconventional shale-gas reservoirs, in Moghanloo, R. G., Unconventional shale gas development—lessons learned (ch. 2): Cambridge, MA, Gulf Professional Publishing, Elsevier, p. 33-70, http://doi.org/10.1016/B978-0-323-90185-7.00006-6.

Torres, M. E., Milliken, K. L., Hüpers, A., Kim, J.-H., and Lee, S.-G., 2022, Authigenic clays versus carbonate formation as products of marine silicate weathering in the input sequence to the Sumatra subduction zone: Geochemistry, Geophysics, Geosystems, v. 23, no. 4, article no. e2022GC010338, 17 p., http://doi.org/10.1029/2022GC010338.

Wang, H., and Chen, Y., 2022, Iterative Gaussian mixture model and multi-channel attributes for arrival picking in extremely noisy environments: Geophysical Prospecting, v. 70, no. 2, p. 343–361, http://doi.org/10.1111/1365-2478.13164.

Wang, H., Chen, Yunfeng, Oboué, Y. A. S. I., Abma, R., Geng, Z., Fomel, S., and Chen, Yangkang, 2022, Simultaneous reconstruction and denoising of extremely sparse 5-D seismic data by a simple and effective method: IEEE Transactions on Geoscience and Remote Sensing, v. 60, no. 5909212, 12 p., http://doi.org/10.1109/TGRS.2021.3132257.

Wang, H., Chen, Yunfeng, Saad, O. M., Chen, W., Oboué, Y. A. S. I., Yang, L., Fomel, S., and Chen, Yangkang, 2022, A MATLAB code package for 2D/3D local slope estimation and structural filtering: Geophysics, v. 87, no. 3, p. F1–F14, http://doi.org/10.1190/geo2021-0266.1.

Yang, W., Long, D., Scanlon, B. R., Burek, P., Zhang, C., Han, Z., Butler, J. J., Jr., Pan, Y., Lei, X., and Wada, Y., 2022, Human intervention will stabilize groundwater storage across the North China Plain: Water Resources Research, v. 58, no. 2, article no. e2021WR030884, 21 p., http://doi.org/10.1029/2021WR030884.

Zeng, H., Xu, Z., Liu, W., Janson, X., and Fu, Q., 2022, Seismic-informed carbonate shelf-to-basin transition in deeply buried Cambrian strata, Tarim Basin, China: Marine and Petroleum Geology, v. 136, no. 105448, 18 p., http://doi.org/10.1016/j.marpetgeo.2021.105448.

Zeng, Z., Zhu, H., Zeng, H., Yang, X., and Xu, C., 2022, Seismic sedimentology analysis of fluvial-deltaic systems in a complex strike-slip fault zone, Bohai Bay Basin, China: implications for reservoir prediction: Journal of Petroleum Science and Engineering, v. 208, part E, no. 109290, 15 p., http://doi.org/10.1016/j.petrol.2021.109290.

Zu, S., Cao, J., Fomel, S., Yang, L., Saad, O. M., and Chen, Y., 2022, Robust local slope estimation by deep learning: Geophysical Prospecting, v. 70, no. 5, p. 847–864, http://doi.org/10.1111/1365-2478.13208.

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