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Lithology

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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, January 24–26, 2023
Paper Number: SPE-212669-MS
... Intelligence (AI) supporting operations geologist during drilling phases. Two different tools have been created: litho-fluid interpretations, a set of AI algorithms used to identify in real-time the lithology and to interpret the formation fluids; well-to-well log correlation and look ahead, models used...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214460-MS
... Abstract Lithology types identification is one of the processes geoscientists rely on to understand the subsurface formations and better evaluate the quality of reservoirs and aquifers. However, direct lithological identification processes usually require more effort and time. Therefore...
Journal Articles
Journal: SPE Journal
SPE J. 27 (06): 3802–3813.
Paper Number: SPE-209824-PA
Published: 20 December 2022
...Jun Jiang; Fang Luo; Hongbao Zhang; Shunhui Yang; Yujie Zhang Summary Lithology recognition based on well logging plays an important role in drilling optimization and minimizing investment costs. Many existing lithology recognition methods resolve this problem by assuming that they have a balanced...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751846
... and lowstand system tracts (Brown et al., 1987, 1990; Hentz et al., 2017). Numerous studies undertaken on the Eastern Shelf stratigraphy, focused mostly on dip directional changes in lithology, emphasizing allogenic (eustatic) drive in siliciclastic and carbonate sediment partitioning (Van Siclen, 1958...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748560
... Andres and overlying Grayburg formations on the eastern margin of the Central Basin Platform and southwestern Midland Basin consist of high-frequency upward-shoaling cycles of shelf margin to basinal carbonates punctuated by channel deposits.We interpret the lithology, depositional history...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746354
... Seismic lithologic information (sand thickness, net-gross ratio, etc.) is useful for stratigraphic and sedimentological study in a large survey. Machine learning (ML) makes it possible to gain the information in a fast and affordable way. However, facies-induced bias is a significant obstacle...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211779-MS
.... This paper introduces a successful application of machine learning to develop a drillability rate prediction model while drilling complex lithologies by employing the ensemble technique. The study presents a procedural methodology for developing the machine learning model using three learners named...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210151-MS
... and potential igneous rocks. In this study 16 off-set wells were analyzed where XRF analysis was performed on drill cuttings samples. Aftwerwards the results were compared with lithogeochemical and gamma-ray spectral logs, determining the consistency of the data. The lithological interpretations were based...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 1–3, 2022
Paper Number: SPE-212019-MS
... Abstract Lithology identification is an important aspect in reservoir characterization with one of its main purpose of well planning and drilling activities. A faster and more effective lithology identification could be obtained from an ensemble of optimized models using voting classifiers...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0509
... ABSTRACT: In the development of low permeability reservoirs, long-term high pressure water injection leads to the formation of high conductivity water-injection induced fractures and the injection water into the non-reservoir lithologic section has also been found in the field inspection well...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0143
...). vibration time-frequency characteristics are extracted into time frequency images with the application of short-time Fourier transform (STFT). This paper develops lithology classification models using new data sources based on convolutional neural network (CNN) combining with Mobilenet and ResNet...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0658
... must be developed economically. However, there are many challenges in hydraulic fracturing such as confined fracture height penetration as a result of stratified lithology, less complexity as a result of bigger horizontal stress difference (>10 MPa) and higher clay content (>50%), higher stress...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2310
... ABSTRACT: Real-time identification of formation lithology is of great significance to optimization of drilling rate and directional drilling. However, the experimental observation method and the statistical analysis method require researchers with rich experience and professional knowledge...
Proceedings Papers

Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0052
... drilling close to a potential water contact. Identifying the lithology at distance would remove the uncertainty, allowing a well to drill closer to a shale zone or maintaining distance from a water zone to optimize both well's position and future production. Inversion for resistivity and anisotropy...
Journal Articles
SPE Drill & Compl 37 (01): 26–37.
Paper Number: SPE-204093-PA
Published: 09 March 2022
...Mikkel Leite Arnø; John-Morten Godhavn; Ole Morten Aamo Summary Decision making to optimize the drilling operation is based on a variety of factors, among them real-time interpretation of drilled lithology. Because logging while drilling (LWD) tools are placed some meters above the bit, mechanical...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, February 21–23, 2022
Paper Number: IPTC-21872-EA
... Abstract Lithology is an important input parameter into petroleum system modelling (PSM) as it carries information about thermal conductivity and reservoir quality. It can be obtained from the geological static model, gross depositional environment (GDE) maps, or seismic data. The objective...
Proceedings Papers

Paper presented at the SPE Eastern Europe Subsurface Conference, November 23–24, 2021
Paper Number: SPE-208559-MS
... Abstract This paper presents advancements in machine learning and cloud deployment that enable rapid and accurate automated lithology interpretation. A supervised machine learning technique is described that enables rapid, consistent, and accurate lithology prediction alongside quantitative...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583635
... integrating well log data, analysis between elastic parameters and rock types and PSDM seismic data in order to perform a simultaneous seismic inversion, getting the spatial distribution of the impedances related to sand lithology in Palagua field, Colombia. The volumes of elastic parameters indicates areas...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208642-MS
...). The novel contribution of this study is to provide a rock porosity model for complex lithology formations using drilling parameters in real-time. The model was built using 2,700 data points from well (A) with 74:26 training to testing ratio. Many sensitivity analyses were performed to optimize the ANN model...
Proceedings Papers

Paper presented at the SPE Russian Petroleum Technology Conference, October 12–15, 2021
Paper Number: SPE-206547-MS
... Abstract The main topic of an article is machine learning and classification (neural net) use for prognostic lithological model creation. Moreover, research preceding stages such as attribute analysis, seismic inversion, seismogeological modeling and briefly the results of lithological...

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