characterization and time-lapse monitoring utilizing

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Energy Procedia 63 (2014) 3935 – 3944 Available online at www.sciencedirect.com ScienceDirect 1876-6102 © 2014 Energy & Environmental Research Center, University of North Dakota. Published by Elsevier Limited. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Peer-review under responsibility of the Organizing Committee of GHGT-12 doi:10.1016/j.egypro.2014.11.423 GHGT-12 Characterization and time-lapse monitoring utilizing pulsed-neutron well logging: associated CO 2 storage at a commercial CO 2 EOR project Jason Braunberger a , John Hamling a , Charles Gorecki a , Howard Miller b , Jim Rawson b , Fred Walsh b , Eric Pasternack b , Wayne Rowe c , Robert Butsch c , Edward Steadman a , John Harju a a Energy & Environmental Research Center, 15 North 23rd Street, Stop 9018, Grand Forks 58202-9018, United States b Denbury Resources, Inc., 5320 Legacy Drive, Plano 75024, United States c Schlumberger Carbon Services, 1875 Lawrence Street, Suite 500, Denver 80202, United States Abstract The Plains CO 2 Reduction (PCOR) Partnership, led by the Energy & Environmental Research Center (EERC), is working with Denbury Onshore LLC (Denbury) and Schlumberger Carbon Services to study monitoring, verification, and accounting (MVA) of CO 2 storage associated with a commercial enhanced oil recovery project at the Denbury-operated Bell Creek oil field located in southeastern Montana. MVA techniques such as time-lapse pulsed-neutron logs (PNLs) have helped to update the local stratigraphy, guide a repeat vertical seismic profile, monitor changes in oil and gas saturations near the wellbore, and further guide additional PNL monitor passes. Keywords: pulsed-neutron logging; CO2 monitoring; enhanced oil recovery; Bell Creek; Powder River Basin 1. Introduction Discovered in 1967, the Bell Creek oil field in southeastern Montana has produced over 130 million barrels (MMbbl) of oil from the Lower Cretaceous Muddy Formation sandstone, which is approximately 4500 feet in depth. Corresponding author. Tel.: +1-701-777-5298; fax: +1-701-777-5181. E-mail address: [email protected] © 2014 Energy & Environmental Research Center, University of North Dakota. Published by Elsevier Limited. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Peer-review under responsibility of the Organizing Committee of GHGT-12

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Page 1: Characterization and time-lapse monitoring utilizing

Energy Procedia 63 ( 2014 ) 3935 – 3944

Available online at www.sciencedirect.com

ScienceDirect

1876-6102 © 2014 Energy & Environmental Research Center, University of North Dakota. Published by Elsevier Limited. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).Peer-review under responsibility of the Organizing Committee of GHGT-12doi: 10.1016/j.egypro.2014.11.423

GHGT-12

Characterization and time-lapse monitoring utilizing pulsed-neutron well logging: associated CO2 storage at a commercial CO2 EOR

projectJason Braunbergera†, John Hamlinga, Charles Goreckia, Howard Millerb, Jim Rawsonb,Fred Walshb, Eric Pasternackb, Wayne Rowec, Robert Butschc, Edward Steadmana, John

Harjua

aEnergy & Environmental Research Center, 15 North 23rd Street, Stop 9018, Grand Forks 58202-9018, United StatesbDenbury Resources, Inc., 5320 Legacy Drive, Plano 75024, United States

cSchlumberger Carbon Services, 1875 Lawrence Street, Suite 500, Denver 80202, United States

Abstract

The Plains CO2 Reduction (PCOR) Partnership, led by the Energy & Environmental Research Center (EERC), is working with Denbury Onshore LLC (Denbury) and Schlumberger Carbon Services to study monitoring, verification, and accounting (MVA) of CO2 storage associated with a commercial enhanced oil recovery project at the Denbury-operated Bell Creek oil field located in southeastern Montana. MVA techniques such as time-lapse pulsed-neutron logs (PNLs) have helped to update the local stratigraphy, guide a repeat vertical seismic profile, monitor changes in oil and gas saturations near the wellbore, and further guide additional PNL monitor passes.

Keywords: pulsed-neutron logging; CO2 monitoring; enhanced oil recovery; Bell Creek; Powder River Basin

1. Introduction

Discovered in 1967, the Bell Creek oil field in southeastern Montana has produced over 130 million barrels (MMbbl) of oil from the Lower Cretaceous Muddy Formation sandstone, which is approximately 4500 feet in depth.

† Corresponding author. Tel.: +1-701-777-5298; fax: +1-701-777-5181.E-mail address: [email protected]

© 2014 Energy & Environmental Research Center, University of North Dakota. Published by Elsevier Limited. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).Peer-review under responsibility of the Organizing Committee of GHGT-12

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Original oil in place (OOIP) is estimated to be over 350 MMbbl. Through primary and secondary recovery, about 38% of the OOIP has been produced. It is estimated that the carbon dioxide (CO2) enhanced oil recovery (EOR)operations being carried out by Denbury will produce approximately 40–50 MMbbl of additional oil from the fieldby injecting large volumes of CO2 in the same deep subsurface formation that has held the oil.

The Bell Creek oil field in southeastern Montana is a subnormally pressured reservoir with significant hydrocarbon charge that lies near the northeastern boundary of the Powder River Basin (Fig. 1). Exploration and production activities for mineral and energy resources in the area over the last 55 years have yielded a significant amount of information about the geology of southeastern Montana and the northern Powder River Basin that has

Fig. 1. Map depicting the location of the Bell Creek oil field in relation to the Powder River Basin and the operational 232-mile Greencorepipeline route to the Bell Creek oil field. CO2 is sourced from the ConocoPhillips-operated Lost Cabin Gas Plant and the ExxonMobil Shute Creek Gas Plant in LaBarge, Wyoming.

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been cataloged in a literature review [1–3]. Decades of oil and gas production through primary and secondary recovery (waterflood) with a small contribution from polymer flood pilot tests [4,5] have resulted in reservoir decline and have now led to the currently operating CO2 injection-based tertiary oil recovery project in the field. CO2 is sourced from the ConocoPhillips-operated Lost Cabin natural gas-processing plant and the ExxonMobil-operated Shute Creek natural gas-processing plants, where it is separated from the process stream during refinement of natural gas. Approximately 50–60 million cubic feet of CO2 a day is delivered to the Bell Creek Field for CO2EOR operations. CO2 injection began May 2013.

Within the Bell Creek oil field, the Muddy Formation is dominated by high-porosity (25%–35%), high-permeability (150–1175-mD) sandstones deposited in a near-shore marine environment. The initial reservoir pressure was approximately 1200 psi, which is significantly lower than the regional hydrostatic pressure regime (2100 psi at 4500 ft). The oil field is located structurally on a shallow monocline with a 1°–2° dip to the northwest and with an axis trending southwest to northeast for a distance of approximately 20 miles. Stratigraphically, the Muddy Formation in the Bell Creek oil field features an updip sand facies pinch-out into shale facies serving as a trap. The barrier-bar sand bodies of the Muddy Formation strike southwest to northeast and lie on a regional structural high, which represents a local paleo-drainage deposition. A deltaic siltstone overlaps the sandstone on an erosional barrier-bar surface and finally is partially dissected and somewhat compartmentalized by intersecting shale-filled incisive erosional channels [6].

2. Project elements

The Plains CO2 Reduction (PCOR) Partnership is focused on site characterization, modeling and simulation, risk assessment, and monitoring the movement of CO2 in the reservoir and the associated CO2 storage that occurs as a part of normal EOR operations. This is accomplished through an adaptive management strategy for CO2 storage monitoring that is designed to select the most fit-for-purpose, cost-effective techniques to characterize the site and monitor the associated storage and movement of CO2 in the injection horizon (Fig. 2). The modeling and simulation activities described in this paper were developed to 1) identify areas where more site characterization data are needed to reduce model uncertainty, 2) aid in the identification and monitoring of potential subsurface technical risks such as out-of-zone fluid migration, and 3) help in the development of effective monitoring strategies. This integrated process will be refined through each incremental stage of the project, from initial planning, to injection, and through postclosure [7].

The pulsed-neutron well logging (PNL) campaign, part of both the site characterization and monitoring activities, is being carried out to study associated CO2 storage that occurs as part of normal large-scale injection of CO2 for EOR. Site characterization provides the critical basis for any effective CO2 storage project and MVA program. This includes geologic characterization of the reservoir and overlying formations and fluids, conditions of existing wells, surface topography, land use, local climate, and the operational plan. The PNL campaign will assist in understanding several of these factors and will properly facilitate the planning necessary to move into the design, deployment, and monitoring programs.

Available techniques for monitoring saturation changes throughout the stratigraphic column over a largegeographic area are often limited and/or cost-prohibitive because of the lack of available access to the subsurface. Simultaneous injection and production associated with large-scale EOR operations further limit applicable techniques. PNL allows the use of existing wellbores to monitor saturation changes in the subsurface with minimal impact to field operations [8]. Time-lapse CO2 saturation data are also anticipated to provide valuable input forhistory-matching activities, performing predictive simulations, and providing a supplemental data set to enhance time-lapse seismic interpretations. This PNL logging campaign consisted of two parts: first running a baseline set of logs prior to CO2 injection and second running a repeat set of logs (monitor pass) after initiation of CO2 injection to compare against the baseline. The baseline logs were collected on 33 wells from November 2012 to June 2013. The first set of monitor pass logs were collected on seven wells from August 2013 to January 2014 (Fig. 3).

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Fig. 2. Project elements of the Bell Creek CO2 sequestration and EOR project. Each of these elements feeds into another, iteratively improvingresults and efficiency of evaluation (modified from Ref. 7).

3. Baseline sigma logs

Baseline sigma logs were collected to interpret porosity and baseline fluid saturations to evaluate time-lapse fluid and gas saturation changes through the Muddy Formation and overlying formations during EOR operations. Understanding near-wellbore fluid/gas saturations provides a mechanism to identify and quantify (if present) vertical migration and/or accumulation of CO2 throughout the injection area. However, the low-salinity environment (<5000-ppm total dissolved solids) present in the Muddy Formation and overlying strata make quantifying water and oil saturations difficult utilizing sigma measurements because of the low contrast in the thermal neutron capture cross section (sigma) of freshwater (~22.2 cu) and oil (~20 cu) [9]. To better understand the reservoir interval, carbon/oxygen (C/O) ratio logging was conducted to provide accurate water/oil/gas saturations and time-lapse changes in these saturations. Because of the low gas-to-oil ratio (GOR), any changes in gas saturations can be primarily attributed to the presence of CO2.

Sigma logging provided a means of collecting through-casing porosity and gamma ray data of strata overlying the Muddy Formation. The high-resolution sigma logs have had immediate use within the Phase 1 development area at Bell Creek. Most of the wells in Bell Creek have only resistivity and spontaneous potential logs along the entire interval, with the addition of gamma ray, sonic, and/or bulk density over the reservoir interval. The high-resolution PNLs have allowed for improved determination of stratigraphic units at each well and the adjustment of structural tops from 200 feet below the surface down through the reservoir. The average shifts for all of the interpretedstructural tops above the reservoir interval were between 2 and 30 feet. However, in some cases such as the Pierre Formation, the interpreted structural top pick was adjusted up to 200 feet on some individual wells because of the difficulty in distinguishing the top of the Pierre from the bottom of the Fox Hills Formation on the vintage well logs.

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Fig. 3. Map of wells showing where baseline and repeat PNLs were collected in relation to the Bell Creek oil field.

Interval thicknesses were updated to provide a better understanding of the local stratigraphy. The overlying Lower Cretaceous Mowry Shale provides the primary seal, preventing fluid migration to overlying aquifers and to the surface. On top of the Mowry Shale are 3000+ feet of low-permeability formations, including the Belle Fourche, Greenhorn, Niobrara, and Pierre Shales, which will provide redundant layers of protection in the unlikely event that the primary seal fails to prevent upward fluid migration fieldwide (Fig. 4).

4. Baseline C/O logging

The baseline C/O logging provided additional data which was interpreted using a probabilistic model in Schlumberger’s Techlog*. Elemental analysis was performed based on the inelastic and capture interactions producing spontaneous releases of gamma radiation. The gamma energy spectra are interpreted to provide yields of different elements, which are then combined into mineral volumes using a proprietary algorithm [10]. The mineral volumes provide a robust understanding of the complex lithologies and heterogeneities present in the reservoir. The model produced detailed lithology information that was used to better characterize the injection target and allowed for quantitative evaluation of residual oil saturations within various discrete intervals of 2-foot vertical resolution in the Muddy Formation. Water and oil saturation maps were constructed representing reservoir values prior to CO2injection which helped guide the dynamic history-matching results during static model validation. Once a model is validated, it is used for predictive simulations that assist in guiding deployment of the PNL monitor passes and repeat seismic surveys in conjunction with injection and production data as part of the overall monitoring program.

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Fig. 4. Local stratigraphy of the Bell Creek development area. Structural tops have been updated using PNL data from the Hell Creek Interval down to the base of the Muddy Interval.

5. PNL monitor pass

Seven monitor pass PNLs including a monitor well, three injection wells (referred to as Wells Inj1–Inj3), and three production wells (referred to as Pro1–Pro3) were logged to assess fluid saturation changes in the reservoir and to confirm that no out-of-zone vertical migration had occurred. These wells were chosen utilizing a combination of field production data and predictive simulations of the geologic models. Because of the nature of how the sigma

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curve is measured, sigma values should generally decrease in the presence of increasing amounts of CO2 near the wellbore. Initially, the injection wells will show more pronounced saturation changes than the production wells because of the fact that the near-wellbore environment in the injection wells will be heavily saturated with CO2(relatively high injection rate over a limited near-wellbore volume) as CO2 begins to penetrate the reservoir through the wellbore perforations. Breakthrough of CO2 will eventually occur at nearby production wells, at first through zones of high transmissibility, then through zones of lesser transmissibility. The results will show decreasing sigma values over the zones with CO2 breakthrough when the repeat logs are directly compared to the baseline logs [11].

With the exception of the monitor well, which has not yet been contacted by CO2 as of the last monitor pass, repeat sigma values are lower in all wells than their respective baseline measurements. In the injection wells, sigma values in the repeat logs are 6 to 9 units less than what is measured in the baseline logs (Fig. 5), indicating the presence of CO2. The production wells show a slight decrease: 1 to 4 units less than the baseline measurements (Fig. 6), indicating initial breakthrough in the high transmissibility zones, but overall lower CO2 saturations than was observed in the injection wells. The zones with CO2 breakthrough correlate with the cleanest sand in the Muddy Formation (according to the gamma ray curve).

PNL monitor passes with C/O mode provided additional information on fluid saturation changes within the reservoir interval. After the logs were processed with the same probabilistic model as the baseline logs in Techlog, saturation changes were calculated between the baseline and monitor pass for the three injectors and the threeproducers. Since the monitor well did not show CO2 breakthrough, there is no difference in fluid saturations to compute. The results for the monitor passes in the injection and production wells showed preferential pathways for CO2 migration by quantitatively assessing CO2, oil, and water saturations with 2-foot vertical resolution. Combining these Techlog-modeled results with previous petrophysical logs and geologic facies interpretations allow further conclusions to be made. As shown in Fig. 7, Injection Well 3 displays a higher concentration of CO2 in the upper sand bench when compared to the lower sand benches. The oil saturation has generally decreased along the wellbore; the slight increases are at the limitations of the 2-foot vertical resolution and have the most uncertainty in the probabilistic model. CO2 is known for the ability to dry out a formation by reducing the irreducible water saturation present in the reservoir. This occurs by a complex evaporation process involving the dissolution of CO2into water and water into CO2 which eventually eliminates near-wellbore water saturation [12]; this phenomenon is shown in the decreasing water saturation along the entire wellbore. Production Well 1 (Fig. 8) shows preferential pathways for CO2 flow by exhibiting a slight change in CO2 saturation in the reservoir. The CO2 saturation seems to be changing most dramatically in the middle of the reservoir interval, but some saturation change is evident near the top and bottom of the reservoir interval. Large decreases in oil saturations correlate well to increases in water saturation and are seen in conjunction with the increase in CO2 saturation indicating oil mobilization.

6. Conclusions

The baseline sigma and C/O log campaign provided valuable data for characterizing system porosity, lithology, and saturations in a historic reservoir with limited data outside the injection horizon. Prior to PNL, geologic property data were limited to circa 1970s legacy data throughout the majority of the Bell Creek oil field, particularly for strata overlying the Muddy Formation, which serve as seals and potential zones to monitor for CO2 migration. The geologic properties of these strata are important for guiding specific monitoring efforts, enhancing interpretation of seismic data, ensuring site security, evaluating CO2 flood/incidental storage performance, and understanding the ultimate storage capacity of the reservoir.

Long-term benefits from the sigma and C/O logs will be to construct water and oil saturation maps which represent current saturations that can help to validate history-matching and predictive simulation efforts on geocellular models. The time-lapse monitoring will be useful in identifying how CO2 moves through the reservoir and which parts of the reservoir CO2 is accessing to better understand plume movement and associated sweep efficiency, effective storage potential, and flow boundaries.

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Fig. 5. Injection Wells 1–3 from left to right, reference track (measured depth in feet), gamma ray log, and sigma logs (baseline in blue, repeat in red). Interval tops shown are Muddy and Skull Creek.

Fig. 6. Production Wells 1–3 from left to right, reference track (measured depth in feet), gamma ray log, and sigma logs (baseline in blue, repeat in red). Interval tops shown are Muddy and Skull Creek.

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Fig. 7. Injection Well 3: from left to right, reference track (measured depth in feet), gamma ray log, and resistivity log, CO2 saturation, oil saturation, water saturation, facies, perforations, effective porosity, shale volume, and horizontal permeability. For the saturations, a fill of green means there was an increase in saturation when the monitor pass is compared to the baseline pass, while the red means there was a decrease in saturation. Interval tops shown are Muddy and Skull Creek.

Fig. 8. Production Well 1: from left to right, reference track (measured depth in feet), gamma ray log, and resistivity log, CO2 saturation, oil saturation, water saturation, facies, perforations, effective porosity, shale volume, and horizontal permeability. For the saturations, a fill of green means there was an increase in saturation when the monitor pass is compared to the baseline pass, while the red means there was a decrease in saturation. Interval tops shown are Muddy and Skull Creek.

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A second PNL monitor pass, including 18 wells, was collected in the summer of 2014 in response to nearly 1 million tons of CO2 being injected as of June 2014. All three of the production wells logged as part of the first monitor pass were relogged, providing additional time-lapse information on fluid saturation changes within the reservoir. One of the injection wells from the first monitor pass was relogged based on the largest injection volumes to confirm that no vertical CO2 migration had occurred since the first monitor pass. Additionally, the monitor well was relogged as predictive simulations have shown that CO2 comes into contact with this location after 6–12 months of injection and to better understand the interwellbore saturation variability in the reservoir. A potential third monitoring pass is scheduled to coincide with any repeat 4-D seismic surveys, and additional monitoring pass logs may be run as needed based on operational and monitoring considerations.

Acknowledgments

* Mark of Schlumberger.This material is based on work supported by the U.S. Department of Energy National Energy Technology

Laboratory under Award No. DE-FC26-05NT42592.

References

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[3] Haddenhorst FA. Development history of Bell Creek Field, Powder River County, Montana. Journal of Petroleum Technology. August 1968. p. 787–793.

[4] Holm LW. Design, performance, and evaluation of the uniflood micellar polymer process – Bell Creek Field. Society of Petroleum Engineers,1982.

[5] Aho GE, Bush J. Results of the Bell Creek Unit ‘A’ micellar-polymer pilot. 57th Annual Fall Technical Conference and Exhibition of the Society of Petroleum Engineers. September 26–29, 1982.

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