NAPENews Magazine September 2022 Edition

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LAGOS BUSINESS MEETING Deepwater assets offshore of the Niger Delta have produced tremendous volumes of hydrocarbons. Quantitative development costs and resource estimations are driven by 3D and 4D earth and simulation models that require continuous tuning and modification as dynamic reservoir, and facility conditions change with time as a function of production. As initial conditions change and new data is collected, so does the need to adjust and improve subsurface models. There are many techniques for accomplishing this, each with varying levels of complexity. Stratigraphic relationships routinely serve as a large uncertainty in complex deepwater systems. Adding to this complexity is the dynamic behavior of the reservoir as continued production and secondary recovery techniques are employed. To better understand the relationship between historic production performance and the predictive accuracy of forward models in deepwater assets, a 3D/4D seismic analysis was performed to help characterize subsurface relationships to explain unpredicted injector-producer waterfront behavior. The importance of accurately characterizing reservoir architecture is paramount and driven by turbidite flow phase (waxing-waning flow cycles), aggradation rate, compensational stacking, bathymetric morphology, and grain-size. Seismic geomorphology, together with log-based stratigraphic approaches were applied to a mature deepwater asset to improve the characterization, explain unpredicted production dynamics, and assess future development opportunities. Results demonstrate that the reservoir is represented by thick- compensationally stacked early-stage channel complexes ranging from erosively confined disorganized sand-rich flow deposits in the fairway axis, to thinner laterstage organized levee-confined deposits along the flanks. Synchronized system tracts analysis (structural and Wheeler domain) togetherwith seismic attribute analyses (spectral decomposition and instantaneous attributes) reveal distinct discontinuities between adjacent channel complexes that tend to amalgamate and disappear updip. The down-dip separation of the erosionally confined channel complexessuggests that they are laterally disconnected and form preferential flow-units along the depositional axis. Consequently, the occurrence of separate down-dip flow-units directly influence the dynamics and direction of water movement from the aquifer and water injection wells. The integration of seismic stratigraphy and well section analysis helped define the depositional architecture of thereservoir which was used to identify the major stratigraphic depositional trends that constrain communication in the reservoir. The result of this study was used to optimize the future development strategy for this reservoir to maximize the expected ultimate recovery (EUR). These new seismic stratigraphic workflows provide a clear basis for future application and utility in exploration and production. NAPENEWS AUG/SEPT 2022 56
CHAPTER TECHNICAL SESSIONS Abuja Chapter Technical Meeting Held Wednesday, 10th August 2022 The Nigerian Association of Petroleum Explorationist (NAPE) Abuja Chapter held her Q3 Technical meeting at the PTDF office complex in Abuja. The technical presentation on Diagnostic Environmental Impact Footprints in a Multiplex Transition Era was delivered by Prof. Ogbonnaya Igwe, Dean of Faculty of Physical Sciences, University of Nigeria, Nsukka. Among the participants of the technical meeting, there were representatives from the House of Representatives, NUPRC, NMDPRA, NOSDRA, and NGSA. It can be said that Data Science and Machine Learning have not only come to stay but will continue to evolve. Whereas the other domains and industries were quick to react and harness it, growing from mere blue chips to net worth of multi-billions, the oil and gas industry was rather slow to react. However, seeing the potential and value of these evolving technologies, the E&P industry has joined the bandwagon with as much vigor as others. This presentation explores the derivatives the E&P industry stands to gain from the evolution of Data Science and Machine Learning. Is it possible to see how machine learning can be specifically tailored to oil and gas use cases, learn when to use machine learning, how it is already being used, and how to manage the data stream going forward, etc? With the different use cases and examples, this presentation explains aspects of Data Science/Machine Learning in different oil and gas projects by showcasing several real-life case studies. It is expected that the audience will learn to replicate or explore new projects for their organizations from the presentation and equally lead their teams through the journey of Data Science project(s) in the oil and gas industry circumventing the pitfalls and harnessing the business values. NAPENEWS AUG/SEPT 2022 57
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AUG/SEPT 2022 EDITION Celebrating a
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EDITOR’S NOTE ollowing the Organi
Page 5 and 6: NAPE EXECUTIVE FEATURES 13 Decadenc
Page 7 and 8: To celebrate our 40th outing, sever
Page 9 and 10: NEW MEMBERSHIP LIST JUNE 2022 - SEP
Page 11 and 12: NIGERIAN OIL & GAS INDUSTRY REPORT
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Page 15 and 16: LIMITATIONS There were no measures
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Page 19 and 20: Interview Dr. Christopher Asuquo Ja
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Page 27 and 28: Sandy heterolith facies (Hs) Muddy
Page 29 and 30: Planolitesmontanus. The fossiliferr
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Page 37 and 38: The NAPE divestment workshop held o
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Page 41 and 42: SPOTLIGHT ON KEY INDUSTRY TRENDS NA
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Page 47 and 48: companies on the back by giving the
Page 49 and 50: NAPE ACTIVITIES Conference Schedule
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Page 53 and 54: NAPE ELECTIONS The NAPE electoral p
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Page 65 and 66: Practical Skillset for Young Profes
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