Layer | Fill | Outline |
---|
Map layers
Theme | Visible | Selectable | Appearance | Zoom Range (now: 0) |
---|
Fill | Stroke |
---|---|
Collaborating Authors
Formation Evaluation & Management
Monitoring stored CO2 in carbon capture and storage projects is crucial for ensuring safety and effectiveness. We introduce DeepNRMS, a novel noise-robust method that effectively handles time-lapse noise in seismic images. The DeepNRMS leverages unsupervised deep learning to acquire knowledge of time-lapse noise characteristics from pre-injection surveys. By utilizing this learned knowledge, our approach accurately discerns CO2-induced subtle signals from the high-amplitude time-lapse noise, ensuring fidelity in monitoring while reducing costs by enabling sparse acquisition. We evaluate our method using synthetic data and field data acquired in the Aquistore project. In the synthetic experiments, we simulate time-lapse noise by incorporating random near-surface effects in the elastic properties of the subsurface model. We train our neural networks exclusively on pre-injection seismic images and subsequently predict CO2 locations from post-injection seismic images. In the field data analysis from Aquistore, the images from pre-injection surveys are utilized to train the neural networks with the characteristics of time-lapse noise, followed by identifying CO2 plumes within two post-injection surveys. The outcomes demonstrate the improved accuracy achieved by the DeepNRMS, effectively addressing the strong time-lapse noise.
- Geophysics > Time-Lapse Surveying > Time-Lapse Seismic Surveying (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)
- Reservoir Description and Dynamics > Storage Reservoir Engineering > CO2 capture and sequestration (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Seismic (four dimensional) monitoring (1.00)
- (2 more...)
Terry Palisch is the vice president of technology and engineering at CARBO Ceramics in Richardson, Texas, and the 2024 SPE President. He began his career with ARCO in Alaska and Algeria, joining CARBO in 2004 where he currently leads the Research and Development team. Palisch has been an active SPE member for over 40 years, serving in various roles, including past chairman of the SPE Dallas Section, past chair of the SPE Annual Technical Conference and Exhibition (ATCE) technical program and former SPE Completions Technical Director. He is an SPE Distinguished Member and has received multiple SPE regional and international awards including Distinguished Service. He has coauthored more than 50 SPE technical papers and holds several patents.
- Asia (1.00)
- North America > United States > Texas > Dallas County > Richardson (0.25)
- Energy > Oil & Gas > Upstream (1.00)
- Government > Regional Government > Asia Government > Middle East Government (0.30)
LITHOCODIUM MOUND IDENTIFICATION USING LWD IMAGE LOG AND QUANTIFIED CUTTING ANALYSIS VALIDATION WITH ANALOGUES
Perrin, Christian (North Oil Company) | Pointer, Chay (North Oil Company) | Al-Mohannadi, Ghada (North Oil Company) | Sen, Shantanu (North Oil Company) | Buraimoh, Muse Ajadi (QatarEnergy)
Lithocodium mounds are early Cretaceous sedimentary structures described in the literature from outcrops, however, never described in the subsurface. The objective of this work is to identify and characterize Lithocodium mounds in the subsurface along a 25,000ft horizontal well. Drill cuttings sampled at a 100ft interval are observed in thin sections to define and quantify key sedimentary indicators (bioclasts, facies, and texture). Logging-while-drilling (LWD) GR, density, neutron, and resistivity logs are acquired along with the LWD high-resolution borehole image (BHI) log. Bedding dips from BHI data, interpreted along the horizontal well, enabled the reconstruction of the reservoir paleotopography. In particular, the alternation of dip azimuth combined with the facies interpretation from the thin sections supported the interpretation of eight distinct mound structures. An assessment of their overall geometry confirmed the mound shape to be subcircular, consistent with the subcircular geometries observed in Oman at the outcrop. The inferred dimensions of the mounds are comparable with the Aptian Lithocodium mounds in Oman (3040m), and their intermound organization resembles that of the Albian mounds in Texas. This work demonstrates the value of analyzing cuttings to complement image log interpretation and the value of outcrop analogs for interpreting sedimentary structures. For the first time, the subsurface identification and characterization of Lithocodium mounds and intermounds are achieved.
- North America > United States > Texas (0.48)
- Asia > Middle East > Oman (0.45)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (1.00)
- Geology > Sedimentary Geology > Depositional Environment (0.93)
- Geology > Geological Subdiscipline > Stratigraphy (0.66)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Borehole Seismic Surveying (0.48)
- Well Drilling > Drilling Operations (1.00)
- Well Drilling > Drilling Measurement, Data Acquisition and Automation > Logging while drilling (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Open hole/cased hole log analysis (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring (0.60)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Pressure transient analysis (0.53)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Drillstem/well testing (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Downhole and wellsite flow metering (0.74)
Dynamic data, acquired using wireline formation testing or well testing techniques, are used by operators to address uncertainties associated with reserve estimates and productivity, while rationalizing field development and production costs. However, these evaluation techniques provide dynamic data at different length scales, and with different environmental footprint, cost, and operational constraints. To help reduce development risks, a Deep Transient Testing (DTT) technique was developed in response to an industry and customer need in 2015 and has been used since then by many oil companies. The method is a hybrid technique between wireline formation testing and Drill Stem Testing (DST) designed to meet local regulatory requirements to unlock reserves. It is based on innovations with higher resolution measurements, pumping of large fluid volumes on wireline at higher rates, extending testing time and circulating the produced fluids out of the well for safety and well control, without the requirement for surface flaring. These features enable dynamic reservoir characterization in thicker formations, higher permeabilities and with much deeper volume of investigation than previously available.
- Reservoir Description and Dynamics > Formation Evaluation & Management > Formation test analysis (e.g., wireline, LWD) (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Open hole/cased hole log analysis (0.92)
- Production and Well Operations (1.00)
- Well Completion > Hydraulic Fracturing (0.80)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Drillstem/well testing (0.43)
Pressure transient analysis (PTA) is an important tool for petroleum engineers to characterize and evaluate oil and gas reservoirs. This is particularly true during the exploration and appraisal stages of a project to understand the nature of the reservoir and derive some of its critical properties but is also very valuable as a monitoring tool to track the evolution of properties altered by production operations or fluid fronts. The associated literature is rich in models, tools and methodologies that have been built over decades. Similar questions need to be answered in CO2 injection projects to characterize injectivity, formation petrophysical properties, reservoir extent or fluid front movements, however PTA does not appear to have garnered much interest for those applications. Be it in saline aquifers or in depleted oil and gas reservoirs, the application of PTA techniques either as evaluation or monitoring tools does not appear to have been studied extensively, even though physical phenomenon can potentially be more complex considering relative permeability changes, miscibility effects, phase changes, geochemical or geomechanical effects that can impact CO2 injection processes.
- Reservoir Description and Dynamics > Storage Reservoir Engineering > CO2 capture and sequestration (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization (1.00)
- Reservoir Description and Dynamics > Improved and Enhanced Recovery (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Pressure transient analysis (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Drillstem/well testing (0.87)
- Facilities Design, Construction and Operation > Measurement and Control (0.69)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Downhole and wellsite flow metering (0.53)