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Resource Evaluation Committee

Subcommittee to Review the United States Onshore Continuous (Unconventional)

Gas Assessment Methodology Used by the USGS

Report Submitted by
John Curtis (Colorado School of Mines), Naresh Kumar (Growth Oil and Gas), Pulak Ray (Minerals Management Service), Rusty Riese (BP Amoco Americas, Inc) and John Ritter (Texaco)

Recommendations

  1. The subcommittee recommends that the full Committee on Resource Evaluation (CORE) endorse the general methodology being used for assessing unconventional gas resources by the United States Geological Survey in its ongoing National Oil and Gas Assessment. If the Committee approves this recommendation, then we also recommend that the Executive Committee also endorse this approval.

  2. Because of its national and international significance, and the potential usefulness of the products coming out of this project, we recommend that the Committee ask the AAPG Executive Committee to support publicity for the project by in the AAPG Explorer.

  3. Due to the fact that this assessment is ongoing, we consider this to be a progress report. Based on the current schedule, assessment activity will continue until 2004, when final review of the last of the 25-targeted basins will be complete. We recommend the Committee consider another at least one additional review during the course of the evaluation and prior to issuance of any final report. This revisit is necessary because some of the procedures are still being refined/clarified.

Background

At the CORE meeting held at the offices of the Oklahoma Geological Survey in Norman, Oklahoma on November 8-9, 2000, the USGS, through CORE member Tom Ahlbrandt, requested a review of the methodology used by the USGS to estimate unconventional gas resources in the United States. This assessment is part of the ongoing National Oil and Gas Assessment currently being carried out by the USGS. John Ritter was requested asked to form a subcommittee to meet with USGS personnel to review the assessment methodology. Formation of this subcommittee follows two previous subcommittee activities, chaired by Richard Nehring and Naresh Kumar, respectively, to review both the ANWR and World Energy Project assessment methodologies. In both of these previous cases, the methodology was found by CORE to be technically and scientifically sound. The AAPG Executive Committee later endorsed this the USGS methodology in both instances.

The National Oil and Gas Assessment is another major resource assessment project being carried out carried out by the USGS. The last major national assessment performed by the USGS was carried out released in 1995. This assessment varies significantly from the that previous assessment both in both methodology and review areas. In particular, the 1995 study was based on assessment of 72 individual provinces. The while the current study focuses on 25 major basins. Therefore, the USGS wanted an industry panel to review the methodology being utilized and provide comments and suggestions to the assessment team. Because of the importance of this type of project to the AAPG membership, CORE approved its involvement.

John Ritter initially met with the USGS team, headed by Chris Schenk, at the Survey’s offices in Denver, on December 11, 2000. The full subcommittee, consisting of John Curtis (Colorado School of Mines), Naresh Kumar (Growth Oil and Gas), Pulak Ray (Minerals Management Service), Rusty Riese (British Petroleum BP Americas, Inc.), and John Ritter (Texaco) met for a detailed review of the project on February 26, 2001. This report summarizes the committee’s observations, comments and recommendations.

National Oil and Gas Assessment

For the current project, which was initiated in 1999, the USGS is concentrating on 25 major US basins. A timeline depicting the planned evaluation process is included as Attachment 1. These basins cover approximately 96% of the producing, and/or prospective, hydrocarbon accumulations in the onshore United States. These basins are subdivided initially into Total Petroleum Systems, or mappable entities encompassing genetically related petroleum deposits, whether discovered or undiscovered. Further subdivisions break these total petroleum systems into Assessment Units (AU), or mappable volumes of rock within the systems that encompass accumulations (discovered or undiscovered), which share similar geologic traits and socio-economic factors. In some cases, an AU may equate to a Total Petroleum system. These AUs are themselves broken into cells, subdivisions or areas within an AU related to the drainage area of a individual wells. An eExpanded definitions for Total Petroleum System, Assessment Unit and cell is are included in the glossary (Attachment 2), which also contains definitions for other terms used by the USGS team in the course of the assessment. (all attachments are included in the PDF on this site)

For each of these basins, the USGS is evaluating both conventional (or discrete) as well as and unconventional, hereafter referred to as continuous, deposits. While the National Assessment includes both oil and gas, the primary driver is the estimation of natural gas resources with the focus of the CORE review being the methodology surrounding underpinning the assessment of the continuous deposits. Continuous deposits are defined as petroleum accumulations that are pervasive throughout a large area and are not significantly affected by hydrodynamic influences. Characteristics of continuous deposits include some, but not necessarily all, of the following for any given accumulation:

    • Lack of well-defined downdip water contact;

    • Lack of obvious seal or trap;

    • Large areal extent;

    • Abnormal pressures;

    • Close association with source rocks;

    • Low recovery factors.

Typical examples include coalbed methane, low permeability reservoirs, shale gas/oil, basin-centered gas and gas hydrates.

The Survey USGS has assembled a team consisting of more than 50 Survey employees to undertake this project. A senior Survey scientist, in this instance Chris Schenk, acts as the project chief and review team leader. Included in the 6-person assessment review team is a production engineer, employed to bring balance to the overall evaluation. A list of the assessment review team members is included in Attachment 3. (all attachments are included in the PDF on this site)

Sources of Information and Data Bases

Data used for this evaluation builds on are additive to the data used in the 1995 assessment. Considerable additional new data and additional data, particularly production data, has have been accumulated since the last evaluation. This type of information is of prime importance to the evaluation process; particularly considering the increased attention the industry has given to the exploitation of continuous resources since 1995. For example, the Gas Research Institute estimates that US annual production from coal-bed methane has risen from 538 BCF in 1992 to over 1.1 TCF by 1997 (Gas Research Institute, North American Coalbed Methane Resource Map, 1999), indicating dramatic increases in production from continuous accumulations.

In respect to the Evaluation of individual basins, involves designation of a geologic the project team that then undertakes a minimum two-year or longer evaluation phase, during which time data relating to the hydrocarbon resource base of the basin is examined in detail. The project team relies on a number of databases to assist in the accumulation of relevant data, as follows:

    • Petroleum Information (PI) Well History

    • Petroleum Information (PI) Production

    • Nehring Significant Fields of US and Canada

    • Geomark Research Inc.’s (Geochemical)

    • Petroconsultants

    • Oil and gas Integrated Field Files (OGIFF - DOE) - proprietary

When combined with the detailed geologic knowledge of specific US basins possessed by many of the Survey scientists, significant volumes of data have been can be incorporated into the study. Addition of a reservoir engineer to the evaluation staff, absent for the 1995 assessment, has allowed the production data to be more fully utilized to define assessment criteria.

The Assessment Methodology

The assessment of continuous deposits begins with the geologic framework and with the definition of one or more "Total Petroleum Systems", as previously discussed. These systems are defined for each of the 25-targeted basins. For each of the Total Petroleum Systems, one or more "Assessment Units" have been mapped. The form used to capture the theseis data is included as Attachment 4. (all attachments are included in the PDF on this site)

Following definition of Assessment Units are next defined for a particular Total Petroleum System,. eEstimation of resources within the an Assessment Unit is then based on an analytical probabilistic and spreadsheet software system called Analytic Cell-based Continuous Energy Spreadsheet System (ACCESS). The ACCESS method is based upon mathematical equations derived from probability theory with the final ACCESS spreadsheet used to calculate estimates of undeveloped oil, gas and NGL (natural gas liquids) resources in a continuous-type assessment unit. Calculation of recoverable volumes for each assessment unit can therefore be seen to follows three distinct steps: First, the geological assessment model is defined; second, the analytic probabilistic method is derived; and third, the ACCESS spreadsheet is described.

The purpose of the ACCESS system is to allows define definition of a subset of the Assessment Unit referred to as a cell, the size of which is related to the drainage area of a well. Definition of the cells has been handled in such a way that for each assessment unit, the probability of hydrocarbon accumulation for all cells (discovered and undiscovered) is assigned a single probability for charge, rocks (reservoir, trap and seal), timing of geologic events, and accessibility. An assessment unit with the probability of finding at least one accumulation of certain minimum size, or one in which there is existing production, has a unit probability of one, whereas those with no known accumulations are hypothetical units with varying degrees of probabilities for hosting undiscovered fields. Geologic analogs across province and region boundaries are used for assessing areas of no known discoveries.

Based on all the literature and data available, the assessment geologist for each of the assessment units defines a set of nine variables, including Assessment Unit area, percentage of Assessment Unit that is untested, percentage of untested area with the potential to add reserves, area per cell, recovery per cell, coproduct ratios, and percent of unit allocated either onshore or offshore. Of these, Assessment Unit area, percentage of assessment unit area that is untested, percentage of untested area with the potential to add reserves, and area per cell are used to determine the potential number of cells remaining to be tested. Finally, three descriptive parameters for each of the nine variables, representing Minimum (F100), Median (F50) and Maximum (F0), are assigned. Following assignment, the geologic assessment model, called the FORSPAN model, is considered complete.

The ACCESS system is then applied to the FORSPAN model. The ACCESS system utilizes the descriptive parameters defined in the FORSPAN model for each of the nine variables to produce probability distributions. Distribution shapes are set for each independent variable; with considerable effort having been expended on determining the probability function that would best depict the sizes and numbers of undiscovered fields. The team has experimented with normal, lognormal, shifted lognormal and triangular distribution functions. After much trial and error and experimentation, either truncated, shifted lognormal or triangular distributions were used, with all but recovery per cell being defined by median-based triangular distributions. ACCESS then relates the parameters, computing means, standard deviations, minimums and maximums.

The ACCESS system then feeds a spreadsheet consisting of 54 separate panels, consolidated into four worksheets. Conditional (unrisked) and unconditional (risked) estimates of undeveloped petroleum resources are developed for the assessment unit, including mean, standard deviation, F95 and F5. A more detailed review of the ACCESS methodology is described in USGS Open File Report 00-044.

Because our task has been to review the methodology, specific numbers for any of the areas were neither requested by us nor were presented during our discussions.

Concerns and Suggestions

  1. During our discussion, we did not have enough time to querry the USGS personnel on how they subdivide a Total Petroleum System into Assessment Units (AU’s). We suggest that the final document clearly describe the rationale on by which Assessment Units are defined. The assumptions used in defining hypothetical Assessment Units also need to be clearly specified. Additionally, we are concerned that some AUs may be erroneously called "continuous" while the problem may be lack of data.

  2. 2. It should be clearly stated that this methodology does not deal with in-place resources and does not assign a recovery factor. The methodology assigns a range of producible hydrocarbons from a cell and determines the final resource by aggregating all the "successful" cells.

  3. USGS currently believes that at the cell level, cell size and EUR are probably highly correlated. However, the assessment analysis is at the (aggregate) assessment unit level, and at this level the variables of cell size and EUR are not as highly correlated. The issue of dependency needs to be further investigated.. Is it possible to treat that as a range when the two are fully dependent to when they are fully independent?

  4. The term "societal relevance" suggests pre-screening before an assessment has been made. Perhaps the untruncated and truncated EURs should be reported so that the filters used and their impacts can be clearly seen. The idea of a 30-year time frame is reasonable. Perhaps, USGS could just define the Assessment Units as those areas that contribute within that time frame.

  5. Our subcommittee lauds the inclusion of an engineer to the assessment team. However, we recommend that besides analyzing the decline curves, the engineer on the team utilize pressure data and material balance calculations, wherever possible. At the minimum, a few cases of comparison between decline-curve analysis and material-balance calculations should be made.

  6. The distribution of EURs from cells attempts to capture the possibility of "sweet spots" within the Assessment Units (AU). In real life, geology would demand that these sweet spots would be clustered within various parts of the AU. Does treating the EUR as an independent variable capture the possibility of clustering of the sweet spots?

  7. There is some strong concern that a the use of a triangular distribution for input variables other than EUR may be will yield results that are too optimistic. Perhaps The USGS wshould carry out some scenarios sensitivity testing with other types of distributions and see if changing the shape of the distribution makes a significant difference to the estimated resources. If there is an overestimation, and we believe there will be, could this can be reduced by using some other sampling than Monte Carlo redefining the types of distributions that underpin the evaluation?.

  8. Because this methodology does not have a "success ratio", there is no accounting for "dry holes". In a typical economic analysis, the project bears the cost of dry holes out of the successful ones until a positive cash flow is achieved. In the current methodology, USGS is using a variable size cell size with variable EURs to distinguish highly productive cells from "dry" cells. It may work for assessing the "technically recoverable" but it is not clear how the economically recoverable volumes will be determined using this methodology. Some clarification is needed at this time.

Summary and Conclusions

Our committee believes that the methodology being used by the United States Geological Survey is sound and despite our comments and suggestions above, is an improvement over the past methods. However, as the evaluations becomes more sophisticated, so also they become more complex. Small changes in definitions of distributions could have significant impact on final results, hence the need for rigorous sensitivity testing. Additionally, because we did not review the economic analysis part of this assessment, we can recommend in advance that that part(portion) of the assessment is as robust as the geological assessment. In additionFinally, the geological assessment and the economic analysis have to be mutually compatible and linked.

Our committee believes that with a detailed discussion of assumptions used and distributions utilized, the cell-based assessment of continuous deposits will provide supportable results. With "full disclosure" of assumptions, other assessors can make their own estimates by incorporating their own assumptions.

Contacts numbers and addresses for the Subcommittee Members

  1. John B. Curtis
    Associate Professor
    Director, Petroleum Exploration and Production Center
    Potential Gas Agency
    Colorado School of Mines
    Golden, CO 80401
    Telephone: (303)-273-3887
    Fax: (303)-273-3574
    jbcurtis@mines.edu

  2. Naresh Kumar
    Growth Oil and Gas
    P.O.Box 835961
    Richardson, Texas, 75083-5961
    Telephone: (972)-404-1782
    naresh@fastlane.net

  3. Pulak Ray
    Mineral Management Service
    Parkway Atrium Building
    Herndon, VA 20170-4817
    Telephone: (703)-787-1511
    Fax: (703)-787-1621
    pulak.ray@mms.gov

  4. Rusty Riese
    BP Amoco Corporation
    501 Westlake Park Boulevard
    Houston, Texas 77079
    Telephone: (282)-366-0775
    Fax: (281)-366-7836
    Rriese1@bp.com

  5. John Ritter
    Texaco
    3901 Briarpark
    Houston, Texas 77042-5301
    Telephone: (713)-954-6106
    Fax: (713)-954-6911
    ritteje@texaco.com

The complete report is available in PDF. Download your copy here.

Attachments may be viewed in the PDF.