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During the past 38 years, CO 2 flood technology for Enhanced Oil Recovery projects evolved from a partially understood process filled with uncertainties to a process based on proven technology and experience. Many questions involved with CO 2 flooding have been thoroughly analyzed and answered. This knowledge is currently being used by a limited number of companies that actually know how to design, implement, and manage a CO 2 flood for long term profit. Unfortunately, this knowledge has not been disseminated to operating companies interested in EOR flooding or to CO 2 Sequestration Communities interested in storing CO 2 in EOR projects.The primary objective of this report is to target "Conventional WAG Techniques" which have been used in over 90% of all the Enhanced Oil Recovery projects implemented in the Permian Basin in Texas, Colorado, Oklahoma, and Wyoming. Over the years, oil companies have reported a wide range of values of Tertiary Oil Recovery, CO 2 Utilization, and CO 2 Retention, resulting in a wide range of variation and uncertainty. Many of the numbers reported to date are tied to a specific HCPV CO 2 Injected based on some Economic Cut-off. This typically has been in the range of 30% to 80% HCPV Injected. The question becomes "What is life after 80% HCPV?" And "What effect does life after 80% HCPV have on Tertiary Oil Recovery, CO 2 Utilization and CO 2 Retention in different producing formations?" Results of this study show Tertiary Oil Recovery can be as high as 26% OOIP when slug sizes exceed 190% HCPV injected. Carbon Sequestration Options: Five Recovery Methods for Enhanced Oil Recovery (EOR)Most Enhanced Oil Recovery Projects use one of the following five operating methods: Conventional WAG Recovery, Gravitystabilized Recovery, Double Displacement, Gas-cycling or Huff-and-Puff. The primary difference between methods depends on the reservoir geology and well pattern configuration. In Conventional CO 2 floods, typical of West Texas, the formations are basically flat (Ramp Sequence), low perm, the fields are developed on pattern spacing (e.g. 5-spot patterns, 9-spot patterns, or Chickenwire patterns), and Conventional WAG Operating schemes are used to control mobility and CO 2 flood response. In conventional WAG operations, the objective is to minimize the amount of CO 2 purchased (CO 2 stored in Sequestration projects), which is typically in the range of range of 30%-40% of the total HCPV CO 2 injected. In un-conventional Gravity-Stabilized and Double Displacement case histories, Flue Gas, CO 2 , Lean Gas or N 2 is usually injected in the top of the structure and oil is produced from the bottom. More CO 2 can be sequestered than conventional WAG operations. As much as 80% of the total pore volume can be displaced with CO 2 . However, the reservoir must meet certain fluid-dynamic criteria and have structure to make the gravity-stabilized process work. In Gas-cycling projects, typical of projects operated by Denbury in Mississippi, CO 2 is cycled through the formation. As much as 6 pore-volumes o...
During the past 38 years, CO 2 flood technology for Enhanced Oil Recovery projects evolved from a partially understood process filled with uncertainties to a process based on proven technology and experience. Many questions involved with CO 2 flooding have been thoroughly analyzed and answered. This knowledge is currently being used by a limited number of companies that actually know how to design, implement, and manage a CO 2 flood for long term profit. Unfortunately, this knowledge has not been disseminated to operating companies interested in EOR flooding or to CO 2 Sequestration Communities interested in storing CO 2 in EOR projects.The primary objective of this report is to target "Conventional WAG Techniques" which have been used in over 90% of all the Enhanced Oil Recovery projects implemented in the Permian Basin in Texas, Colorado, Oklahoma, and Wyoming. Over the years, oil companies have reported a wide range of values of Tertiary Oil Recovery, CO 2 Utilization, and CO 2 Retention, resulting in a wide range of variation and uncertainty. Many of the numbers reported to date are tied to a specific HCPV CO 2 Injected based on some Economic Cut-off. This typically has been in the range of 30% to 80% HCPV Injected. The question becomes "What is life after 80% HCPV?" And "What effect does life after 80% HCPV have on Tertiary Oil Recovery, CO 2 Utilization and CO 2 Retention in different producing formations?" Results of this study show Tertiary Oil Recovery can be as high as 26% OOIP when slug sizes exceed 190% HCPV injected. Carbon Sequestration Options: Five Recovery Methods for Enhanced Oil Recovery (EOR)Most Enhanced Oil Recovery Projects use one of the following five operating methods: Conventional WAG Recovery, Gravitystabilized Recovery, Double Displacement, Gas-cycling or Huff-and-Puff. The primary difference between methods depends on the reservoir geology and well pattern configuration. In Conventional CO 2 floods, typical of West Texas, the formations are basically flat (Ramp Sequence), low perm, the fields are developed on pattern spacing (e.g. 5-spot patterns, 9-spot patterns, or Chickenwire patterns), and Conventional WAG Operating schemes are used to control mobility and CO 2 flood response. In conventional WAG operations, the objective is to minimize the amount of CO 2 purchased (CO 2 stored in Sequestration projects), which is typically in the range of range of 30%-40% of the total HCPV CO 2 injected. In un-conventional Gravity-Stabilized and Double Displacement case histories, Flue Gas, CO 2 , Lean Gas or N 2 is usually injected in the top of the structure and oil is produced from the bottom. More CO 2 can be sequestered than conventional WAG operations. As much as 80% of the total pore volume can be displaced with CO 2 . However, the reservoir must meet certain fluid-dynamic criteria and have structure to make the gravity-stabilized process work. In Gas-cycling projects, typical of projects operated by Denbury in Mississippi, CO 2 is cycled through the formation. As much as 6 pore-volumes o...
This paper presents modeling CO2 enhanced oil recovery (EOR) flood performance through the application of dimensionless scaling for both forecasting and surveillance purposes. While the methodology has been used successfully for West Texas CO2 floods for more than two decades, a recent modification in the process enhances the certainty of forecasted tertiary response based on simulation and analog results. The primary focus of this paper is on how this new approach improves the use of analog or observed production history to develop more reliable forecasts for EOR processes. Business units favor analog methods since they are fast, adaptable and explicit. Analog tertiary production response is the incremental oil production over an estimated base waterflood oil recovery. The original formulation, published in a different paper (Simmons and Falls 2005), for the underlying base waterflood was modeled using an exponential decline throughput-based regression fit of historical pattern based performance, but in effective waterfloods, many times the oil production approaches a harmonic decline. In this paper, the impact of waterflood maturity level on analog dimensionless analysis is demonstrated by both simulation and multiple historical waterflood scenarios across the Permian Basin. The authors offer an improved approach to predict base waterflood and consequently tertiary oil recovery response. This method integrates multiple waterflood forecast methods, e.g., hyperbolic and dimensionless. The new approach results in a reduction in difference between simulation and analog forecasts. Also, the estimated final tertiary response using this method converges closer for various San Andres CO2 floods started at different times in West Texas. Finally, the modified analog response is compared against simulation.
Enhanced oil recovery (EOR) is a complex process which has high investment cost and involves multiple disciplines including reservoir engineering, chemical engineering, geological engineering, etc. Finding the most suitable EOR technique for the candidate reservoir is time consuming and critical for reservoir engineers. The objective of this research is to propose a new methodology to assist engineers to make fast and scientific decisions on the EOR selection process by implementing machine learning algorithms to worldwide EOR projects. First, worldwide EOR project information were collected from oil companies, the extensive literature, and reports. Then, exploratory data analysis methods were employed to reveal the distribution and relationships among different reservoir/fluid parameters. Random forest, artificial neural networks, naïve Bayes, support vector machines, and decision trees were applied to the dataset to establish classification models, and five-fold cross-validation was performed to fully apply the dataset and ensure the performance of the model. Utilizing random search, we optimized the model’s hyper parameters to achieve optimal classification results. The results show that the random forest classification model has the highest accuracy and the accuracy of the test set increased from 88.54% to 91.15% without or with the optimization process, achieving an accuracy improvement of 2.61%. The prediction accuracy in the three categories of thermal flooding, gas injection, and chemical flooding were 100%, 96.51%, and 88.46%, respectively. The results also show that the established RF classification model has good capability to make recommendations of the EOR technique for a new candidate oil reservoir.
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